Introduction
Hours: 40
Competitive salary a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019.
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors
Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
25/03/2019
Full time
Introduction
Hours: 40
Competitive salary a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019.
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors
Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
Introduction
Hours: 40
Salary: Competitive Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics Community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset.
Who we're looking for
We are looking for experienced Data Solution Designers to join our Design Hub, to deliver data solutions, patterns and controls, and constructing data pipelines to deliver information to our business community. You’ll be able to operate a complex technical portfolio with multiple objectives, and you’ll have experience of working in a challenging fast paced environment to deliver at scale for our projects. You will have:
Advanced and proven technology design skills and capabilities for data lake and data warehouses design
Good stakeholder management and engagement skills
Experience communicating and influencing peers and management
The ability to react with pace to manage changing demand
Experience of different delivery methodologies – Waterfall, Agile, DevOps
Experience in task management
You will have the experience in the following areas:
Designing patterns and techniques for data lake and data warehouse on hybrid cloud and on-premise architectures
Hadoop big data appliances, (Hive, HDFS, Scala, Spark, NIFI)
Using Informatica and Teradata
Knowledge of ETL frameworks
Understanding of end-to-end IM environments
Data modelling
Data mapping
Up to date with emerging technologies and trends, and awareness of open source tooling for big data
Worked in and knowledge of the finance sector
Proven leadership, mentoring and recruitment experience.
What you'll be doing
Reporting to the Design Hub Lead, you will be delivering project designs for our new information management solution, and managing reusable design and code specific patterns. Working with the Architecture, Design and Data Engineering teams, you’ll be ensuring technology best practice and ensuring the platform remains relevant and up to date whilst delivering change at pace. Apply now
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
You can apply via the ''Apply now'' button.
25/03/2019
Full time
Introduction
Hours: 40
Salary: Competitive Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics Community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset.
Who we're looking for
We are looking for experienced Data Solution Designers to join our Design Hub, to deliver data solutions, patterns and controls, and constructing data pipelines to deliver information to our business community. You’ll be able to operate a complex technical portfolio with multiple objectives, and you’ll have experience of working in a challenging fast paced environment to deliver at scale for our projects. You will have:
Advanced and proven technology design skills and capabilities for data lake and data warehouses design
Good stakeholder management and engagement skills
Experience communicating and influencing peers and management
The ability to react with pace to manage changing demand
Experience of different delivery methodologies – Waterfall, Agile, DevOps
Experience in task management
You will have the experience in the following areas:
Designing patterns and techniques for data lake and data warehouse on hybrid cloud and on-premise architectures
Hadoop big data appliances, (Hive, HDFS, Scala, Spark, NIFI)
Using Informatica and Teradata
Knowledge of ETL frameworks
Understanding of end-to-end IM environments
Data modelling
Data mapping
Up to date with emerging technologies and trends, and awareness of open source tooling for big data
Worked in and knowledge of the finance sector
Proven leadership, mentoring and recruitment experience.
What you'll be doing
Reporting to the Design Hub Lead, you will be delivering project designs for our new information management solution, and managing reusable design and code specific patterns. Working with the Architecture, Design and Data Engineering teams, you’ll be ensuring technology best practice and ensuring the platform remains relevant and up to date whilst delivering change at pace. Apply now
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
You can apply via the ''Apply now'' button.
Introduction
Hours: 40
Up to £73,436 a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytical solutions onto the society’s enterprise data platform (Hadoop big data ecosystem and Teradata appliance) in support of both small Agile and larger scale project and user delivery. Combining responsibilities for technical delivery alongside continuous improvement, innovation and automation, this exciting new role will provide the opportunity to work with some cutting-edge technologies.
What you'll be doing
Reporting to a Snr Data Engineer, you will form a key part of a team of engineers responsible for the implementation of data solutions onto the new IM estate in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will help to deliver best practice, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. You will bring a high level of motivation and innovation to the team, always looking for ways to expand your own skill set and searching for ways to do things better, quicker & cheaper.
Who we're looking for
As a minimum requirement you’ll:
Have at least 1 years’ experience of data lake and/or data warehouse delivery with:
Either, experience in the Hadoop big data platform and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Or, experience in data warehouse delivery, ideally with a mix of Informatica and/or Teradata technologies
Be a technical innovator with a curious mindset and a thirst for knowledge and be able to demonstrate a drive for continual improvement
Be a strong team player who enjoys and thrives on collaboration across colleagues and teams
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Experience of working in an Agile environment using SCRUM/Kanban
Hands-on experience of working within a DevOps environment with tooling such as Jenkins, Docker, Cucumber etc
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Please apply via the 'Apply now' button.
25/03/2019
Full time
Introduction
Hours: 40
Up to £73,436 a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytical solutions onto the society’s enterprise data platform (Hadoop big data ecosystem and Teradata appliance) in support of both small Agile and larger scale project and user delivery. Combining responsibilities for technical delivery alongside continuous improvement, innovation and automation, this exciting new role will provide the opportunity to work with some cutting-edge technologies.
What you'll be doing
Reporting to a Snr Data Engineer, you will form a key part of a team of engineers responsible for the implementation of data solutions onto the new IM estate in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will help to deliver best practice, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. You will bring a high level of motivation and innovation to the team, always looking for ways to expand your own skill set and searching for ways to do things better, quicker & cheaper.
Who we're looking for
As a minimum requirement you’ll:
Have at least 1 years’ experience of data lake and/or data warehouse delivery with:
Either, experience in the Hadoop big data platform and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Or, experience in data warehouse delivery, ideally with a mix of Informatica and/or Teradata technologies
Be a technical innovator with a curious mindset and a thirst for knowledge and be able to demonstrate a drive for continual improvement
Be a strong team player who enjoys and thrives on collaboration across colleagues and teams
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Experience of working in an Agile environment using SCRUM/Kanban
Hands-on experience of working within a DevOps environment with tooling such as Jenkins, Docker, Cucumber etc
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Please apply via the 'Apply now' button.
Introduction
Hours: 40
Up to £73,436 a year dependent on experience
Permanent 35-hour per week contract
Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery.
What you'll be doing
Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient. Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”.
Who we're looking for
In addition to an inquisitive mindset and a passion for innovation, you will also:
Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus
Have a background in data engineering or operational support, again within a data domain
Be experienced in driving both innovation and automation
Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
22/03/2019
Full time
Introduction
Hours: 40
Up to £73,436 a year dependent on experience
Permanent 35-hour per week contract
Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery.
What you'll be doing
Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient. Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”.
Who we're looking for
In addition to an inquisitive mindset and a passion for innovation, you will also:
Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus
Have a background in data engineering or operational support, again within a data domain
Be experienced in driving both innovation and automation
Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
22/03/2019
Full time
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
Bertelsmann Data Science Program – MEDIA N
We are inviting you to join MEDIA N , our international data science rotational program. During the year-long program, you will be involved in implementing a number of data-related projects throughout various Bertelsmann divisions worldwide. You will gain insight from top data experts into the wide array of our digital business models within media, services and for-profit education. Join our growing data community and add your experience, knowledge and vision to our data-driven philosophy.
What you should bring:
M.Sc. or Ph.D. in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, Physics or related topics
Advanced knowledge of standard methods across the entire data science pipeline
Proven experience working with data science (via internships, research projects, etc.)
Problem-solving mindset with strong relationship building, collaborative and communication skills
Strong knowledge of machine learning methods
Solid programming skills in Python and R; additional programming languages such as SAS, Scala, Spark, C/C++ and/or Java are a plus
Knowledge of databases, database concepts, database design and related languages / tools such as SQL, NoSQL, Hive, etc.
Experience with mining massive data sets (ex. with Hadoop) and visual storytelling expertise are a plus
Geographic flexibility; travel and relocation will be required
Foreign languages are a plus
What you‘ll be doing:
Design new data products and develop big data capabilities in order to address business model challenges and offer solutions
Collaborate with international teams to drive usage and adoption of new data products and capabilities
Use and further enhance machine learning methods and tools
Understand and leverage new data sources and integrate traditional structured data with raw data from websites, social media and third parties
Model and frame business scenarios that are meaningful and impact critical business decisions
Support change within the organization
Please apply online, as we do not consider applications submitted by mail, fax, or e-mail. We welcome applications from people who will contribute to the diversity of our company. For more information about the program visit:
https://data-science-bertelsmann.com/
Introducing ourselves:
Bertelsmann is a media, services and education company that operates in about 50 countries around the world. It includes the broadcaster RTL Group, the trade book publisher Penguin Random House, the magazine publisher Gruner + Jahr, the music company BMG, the service provider Arvato, the Bertelsmann Printing Group, the Bertelsmann Education Group and Bertelsmann Investments, an international network of funds. The company has 119,000 employees and generated revenues of €17.2 billion in the 2017 financial year. Bertelsmann stands for entrepreneurship and creativity. This combination promotes first-class media content and innovative service solutions that inspire customers around the world.
15/03/2019
Full time
Bertelsmann Data Science Program – MEDIA N
We are inviting you to join MEDIA N , our international data science rotational program. During the year-long program, you will be involved in implementing a number of data-related projects throughout various Bertelsmann divisions worldwide. You will gain insight from top data experts into the wide array of our digital business models within media, services and for-profit education. Join our growing data community and add your experience, knowledge and vision to our data-driven philosophy.
What you should bring:
M.Sc. or Ph.D. in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, Physics or related topics
Advanced knowledge of standard methods across the entire data science pipeline
Proven experience working with data science (via internships, research projects, etc.)
Problem-solving mindset with strong relationship building, collaborative and communication skills
Strong knowledge of machine learning methods
Solid programming skills in Python and R; additional programming languages such as SAS, Scala, Spark, C/C++ and/or Java are a plus
Knowledge of databases, database concepts, database design and related languages / tools such as SQL, NoSQL, Hive, etc.
Experience with mining massive data sets (ex. with Hadoop) and visual storytelling expertise are a plus
Geographic flexibility; travel and relocation will be required
Foreign languages are a plus
What you‘ll be doing:
Design new data products and develop big data capabilities in order to address business model challenges and offer solutions
Collaborate with international teams to drive usage and adoption of new data products and capabilities
Use and further enhance machine learning methods and tools
Understand and leverage new data sources and integrate traditional structured data with raw data from websites, social media and third parties
Model and frame business scenarios that are meaningful and impact critical business decisions
Support change within the organization
Please apply online, as we do not consider applications submitted by mail, fax, or e-mail. We welcome applications from people who will contribute to the diversity of our company. For more information about the program visit:
https://data-science-bertelsmann.com/
Introducing ourselves:
Bertelsmann is a media, services and education company that operates in about 50 countries around the world. It includes the broadcaster RTL Group, the trade book publisher Penguin Random House, the magazine publisher Gruner + Jahr, the music company BMG, the service provider Arvato, the Bertelsmann Printing Group, the Bertelsmann Education Group and Bertelsmann Investments, an international network of funds. The company has 119,000 employees and generated revenues of €17.2 billion in the 2017 financial year. Bertelsmann stands for entrepreneurship and creativity. This combination promotes first-class media content and innovative service solutions that inspire customers around the world.
Komplexe Zusammenhänge analysieren, tragfähige Lösungen konzipieren, praktische Tools entwickeln – das ist Ihr Traumjob? Sehr gut! Wenn Sie dazu noch das nötige technische Know-how mitbringen und als Teamplayer gerne an einem Strang ziehen, sind Sie für uns genau der oder die Richtige! Jump on.
Ihre Aufgaben
Mit smarten Konzepten und kongenialer Umsetzung geben Sie unseren Big-Data-Projekten den richtigen Push. Dazu nehmen Sie Vertriebssignale auf und setzen Sie in passgenaue Java-Anwendungen um – das Ganze im Rahmen von Real-Time Analytics. Den reibungslosen Betrieb – inkl. den der eingesetzten Plattform – und das Monitoring der Eigenentwicklungen haben Sie dabei selbstverständlich auch auf dem Schirm. Und da Sie ein wacher Kopf sind und das wichtige Quäntchen an nachhaltiger Effizienz mitbringen, geben Sie entscheidende Impulse in puncto Prozess-Automatisierung und Optimierungspotenzialen.
Ihr Profil
Erfahrung in der (agilen) Java-Anwendungsentwicklung
Gute Linux-Kenntnisse und Erfahrung mit Konfigurations- bzw. Automatisierungstools (z. B. Ansible, Puppet und Automic)
Know-how in Sachen Continuous Integration & Delivery
Versiert im Umgang mit Eclipse, IntelliJ, Spring, Maven sowie Jenkins
Erste Praxis mit Data Streaming und Kafka
Gutes Deutsch & Englisch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
21/02/2019
Full time
Komplexe Zusammenhänge analysieren, tragfähige Lösungen konzipieren, praktische Tools entwickeln – das ist Ihr Traumjob? Sehr gut! Wenn Sie dazu noch das nötige technische Know-how mitbringen und als Teamplayer gerne an einem Strang ziehen, sind Sie für uns genau der oder die Richtige! Jump on.
Ihre Aufgaben
Mit smarten Konzepten und kongenialer Umsetzung geben Sie unseren Big-Data-Projekten den richtigen Push. Dazu nehmen Sie Vertriebssignale auf und setzen Sie in passgenaue Java-Anwendungen um – das Ganze im Rahmen von Real-Time Analytics. Den reibungslosen Betrieb – inkl. den der eingesetzten Plattform – und das Monitoring der Eigenentwicklungen haben Sie dabei selbstverständlich auch auf dem Schirm. Und da Sie ein wacher Kopf sind und das wichtige Quäntchen an nachhaltiger Effizienz mitbringen, geben Sie entscheidende Impulse in puncto Prozess-Automatisierung und Optimierungspotenzialen.
Ihr Profil
Erfahrung in der (agilen) Java-Anwendungsentwicklung
Gute Linux-Kenntnisse und Erfahrung mit Konfigurations- bzw. Automatisierungstools (z. B. Ansible, Puppet und Automic)
Know-how in Sachen Continuous Integration & Delivery
Versiert im Umgang mit Eclipse, IntelliJ, Spring, Maven sowie Jenkins
Erste Praxis mit Data Streaming und Kafka
Gutes Deutsch & Englisch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Und Ihr fachliches Können steht Ihrer persönlichen Kompetenz in Nichts nach? Plus: Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um in unserer Expertise Big Data die entscheidenden Impulse zu geben. Jump on.
Ihre Aufgaben
Geht es um operative und strategische Entscheidungen über die ganze Bandbreite des Bankengeschäfts, machen Sie uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Konkret: Sie betreuen und entwickeln containerisierte Lösungen für den Elastic Stack, das zentrale Log File Monitoring und zur Analyse von Metriken. Dabei haben Sie den vollen Überblick, kennen die Abhängigkeiten & Schnittstellen und unterstützen so optimal das Requirements Engineering sowie die Strukturierung und Bewertung von Arbeitspaketen. Nicht zuletzt übernehmen Sie gerne die Projektverantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei stets eng mit den jeweiligen Fachbereichen vernetzt.
Ihr Profil
Erfahrung im Umgang mit Kubernetes/OpenShift/Elastic Stack & Linux sowie Kenntnisse in Kafka und Streaming
Grunderfahrung in agiler Entwicklung (Scrum/Kanban/Spotify Agile) und in professionellen Entwicklungsworkflows
Praxis im Systemmonitoring, Interesse an hochverfügbaren, verteilten Clusterlösungen sowie versiert in der DevOps-Methodik im Kontext Konfigurationsmanagement und CI
Idealerweise fit in Prometheus, Ansible, Jenkins, Groovy, Job DSL, Unix Shell sowie automatisiertem Testing
Empathischer, aber auch durchsetzungsstarker und strategisch denkender Teamplayer
Sicheres Englisch
Ihre Bewerbung
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
15/02/2019
Full time
Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Und Ihr fachliches Können steht Ihrer persönlichen Kompetenz in Nichts nach? Plus: Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um in unserer Expertise Big Data die entscheidenden Impulse zu geben. Jump on.
Ihre Aufgaben
Geht es um operative und strategische Entscheidungen über die ganze Bandbreite des Bankengeschäfts, machen Sie uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Konkret: Sie betreuen und entwickeln containerisierte Lösungen für den Elastic Stack, das zentrale Log File Monitoring und zur Analyse von Metriken. Dabei haben Sie den vollen Überblick, kennen die Abhängigkeiten & Schnittstellen und unterstützen so optimal das Requirements Engineering sowie die Strukturierung und Bewertung von Arbeitspaketen. Nicht zuletzt übernehmen Sie gerne die Projektverantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei stets eng mit den jeweiligen Fachbereichen vernetzt.
Ihr Profil
Erfahrung im Umgang mit Kubernetes/OpenShift/Elastic Stack & Linux sowie Kenntnisse in Kafka und Streaming
Grunderfahrung in agiler Entwicklung (Scrum/Kanban/Spotify Agile) und in professionellen Entwicklungsworkflows
Praxis im Systemmonitoring, Interesse an hochverfügbaren, verteilten Clusterlösungen sowie versiert in der DevOps-Methodik im Kontext Konfigurationsmanagement und CI
Idealerweise fit in Prometheus, Ansible, Jenkins, Groovy, Job DSL, Unix Shell sowie automatisiertem Testing
Empathischer, aber auch durchsetzungsstarker und strategisch denkender Teamplayer
Sicheres Englisch
Ihre Bewerbung
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
As a Senior Machine Learning Engineer, you will play a key role in designing and developing impactful data products. You will have significant ownership and responsibility on problems such as search relevance, recommendations, categorisation or search term value prediction. About GetYourGuide:
With 450+ employees from 50 nationalities, GetYourGuide is on a mission to turn trips into amazing experiences, using our product and technology to change the way travellers find and book things to do and explore their destination. We connect these travellers to our vast catalog of amazing experiences through our online marketplace.
Team Mission:
The Data Product team's mission is to transform our vast amount of data into intelligent products our customers love. We work on a variety of problems as members of cross-functional teams and use cutting-edge algorithms and data infrastructure.
Responsibilities:
Build data products that satisfy our customers and boost our business.
Develop your ideas from hypothesis testing over prototyping to code in production.
Identify new product opportunities based on the vast amount of data we collect and store.
Optimize and improve existing features or data processes for performance and stability
Support the growth of a world-class data team by participating in recruiting, team building and mentoring.
Requirements:
Software Engineering: You are proficient in Scala or Python (and willing to learn Scala) and possess strong CS fundamentals. You write efficient code with a keen eye on scalability and maintainability.
Data Pipelines: You have a track record in developing scalable production data workflows using Apache Spark.
Machine Learning: You have experience applying relevance and machine learning algorithms. You understand the ins and outs of building intelligent products with data.
Business Experience: You applied the skills mentioned above in a business environment for 4+ years. A track record of result-driven work gives evidence of this.
Nice to have:
Experience with data analysis concepts and tools (SQL, Pandas, R)
We Offer:
Work on a product that helps create memorable travel experiences
Smart, engaged co-workers
Speak English in the office with people from over 50 nationalities
Virtual stock options - be part of our success story
Monthly Hackathons and weekly tech talks
Annual external training budget - be constantly learning
Well stocked kitchen and our famous pizza & beer Friday’s
GetYourGuide vouchers and free German lessons
Relocation Assistance
Curious?
Make sure you check out life at GetYourGuide on our blog . You can also take a look at our Tech Radar for an insight into our stack.
08/02/2019
Full time
As a Senior Machine Learning Engineer, you will play a key role in designing and developing impactful data products. You will have significant ownership and responsibility on problems such as search relevance, recommendations, categorisation or search term value prediction. About GetYourGuide:
With 450+ employees from 50 nationalities, GetYourGuide is on a mission to turn trips into amazing experiences, using our product and technology to change the way travellers find and book things to do and explore their destination. We connect these travellers to our vast catalog of amazing experiences through our online marketplace.
Team Mission:
The Data Product team's mission is to transform our vast amount of data into intelligent products our customers love. We work on a variety of problems as members of cross-functional teams and use cutting-edge algorithms and data infrastructure.
Responsibilities:
Build data products that satisfy our customers and boost our business.
Develop your ideas from hypothesis testing over prototyping to code in production.
Identify new product opportunities based on the vast amount of data we collect and store.
Optimize and improve existing features or data processes for performance and stability
Support the growth of a world-class data team by participating in recruiting, team building and mentoring.
Requirements:
Software Engineering: You are proficient in Scala or Python (and willing to learn Scala) and possess strong CS fundamentals. You write efficient code with a keen eye on scalability and maintainability.
Data Pipelines: You have a track record in developing scalable production data workflows using Apache Spark.
Machine Learning: You have experience applying relevance and machine learning algorithms. You understand the ins and outs of building intelligent products with data.
Business Experience: You applied the skills mentioned above in a business environment for 4+ years. A track record of result-driven work gives evidence of this.
Nice to have:
Experience with data analysis concepts and tools (SQL, Pandas, R)
We Offer:
Work on a product that helps create memorable travel experiences
Smart, engaged co-workers
Speak English in the office with people from over 50 nationalities
Virtual stock options - be part of our success story
Monthly Hackathons and weekly tech talks
Annual external training budget - be constantly learning
Well stocked kitchen and our famous pizza & beer Friday’s
GetYourGuide vouchers and free German lessons
Relocation Assistance
Curious?
Make sure you check out life at GetYourGuide on our blog . You can also take a look at our Tech Radar for an insight into our stack.
Weshalb zuschauen, wenn man auch mitgestalten kann? Die Bank der Zukunft entwickelt sich nicht von selbst. Dazu brauchen wir kluge Köpfe, Umsetzer, Kommunikationstalente – und Kundenversteher. Sie verbinden fachliches Know-how mit überzeugender Persönlichkeit? Und Sie erfassen, was Data Mining mit Marketing zu tun hat? Perfekt. Dann sind Sie die richtige Besetzung, um im Tribe „Customer Interaction“ unser Kundenwissen auf das nächste Level zu bringen. Jump on.
Ihre Aufgaben
In Ihrem Tribe dreht sich alles darum, die Wünsche & Vorstellungen unserer Kunden durch Data Analytics zu antizipieren, um unsere Services künftig noch individueller zu gestalten. Wie unsere Kunden ticken, entschlüsseln Sie mittels umfangreicher Datenanalysen, von der einfachen Auszählung bis zu innovativen Analyseverfahren, Machine-Learning-Algorithmen und Predictive Modelling. Mit Ihren Analysen unterstützen Sie unser operatives Kampagnenmanagement, tragen zu einer stetigen Verbesserung der Maßnahmen zu Kundenbindung und -akquise bei und liefern Input für strategische Vertriebsprojekte. Und nicht zuletzt verstehen Sie es, Ihre Ergebnisse strukturiert aufzubereiten und überzeugend zu präsentieren.
Ihr Profil
Abgeschlossenes Studium, vorzugsweise mit Schwerpunkt Wirtschaft, Informatik, Mathematik, Statistik oder vergleichbare fachliche Qualifikation
Erfahrung in der statistischen Modellierung von Kundenverhalten und dem Einsatz von Machine-Learning-Algorithmen
Absolut fit im Umgang mit großen und komplexen Datenmengen sowie Kenntnisse in SAS und R
Gutes Verständnis von Direktmarketing & Kampagnenmanagement erwünscht
Ausgeprägte analytische und kommunikative Fähigkeiten
Sehr gutes Deutsch und Englisch, schriftlich wie mündlich
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
06/02/2019
Full time
Weshalb zuschauen, wenn man auch mitgestalten kann? Die Bank der Zukunft entwickelt sich nicht von selbst. Dazu brauchen wir kluge Köpfe, Umsetzer, Kommunikationstalente – und Kundenversteher. Sie verbinden fachliches Know-how mit überzeugender Persönlichkeit? Und Sie erfassen, was Data Mining mit Marketing zu tun hat? Perfekt. Dann sind Sie die richtige Besetzung, um im Tribe „Customer Interaction“ unser Kundenwissen auf das nächste Level zu bringen. Jump on.
Ihre Aufgaben
In Ihrem Tribe dreht sich alles darum, die Wünsche & Vorstellungen unserer Kunden durch Data Analytics zu antizipieren, um unsere Services künftig noch individueller zu gestalten. Wie unsere Kunden ticken, entschlüsseln Sie mittels umfangreicher Datenanalysen, von der einfachen Auszählung bis zu innovativen Analyseverfahren, Machine-Learning-Algorithmen und Predictive Modelling. Mit Ihren Analysen unterstützen Sie unser operatives Kampagnenmanagement, tragen zu einer stetigen Verbesserung der Maßnahmen zu Kundenbindung und -akquise bei und liefern Input für strategische Vertriebsprojekte. Und nicht zuletzt verstehen Sie es, Ihre Ergebnisse strukturiert aufzubereiten und überzeugend zu präsentieren.
Ihr Profil
Abgeschlossenes Studium, vorzugsweise mit Schwerpunkt Wirtschaft, Informatik, Mathematik, Statistik oder vergleichbare fachliche Qualifikation
Erfahrung in der statistischen Modellierung von Kundenverhalten und dem Einsatz von Machine-Learning-Algorithmen
Absolut fit im Umgang mit großen und komplexen Datenmengen sowie Kenntnisse in SAS und R
Gutes Verständnis von Direktmarketing & Kampagnenmanagement erwünscht
Ausgeprägte analytische und kommunikative Fähigkeiten
Sehr gutes Deutsch und Englisch, schriftlich wie mündlich
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.
We're looking for someone to join our search team as an embedded Data Scientist. You will be a member of a diverse and skilled group of Data Scientists that operate across the organisation in product teams, business intelligence and analytics. As a Senior Data Scientist on search, you will take the lead on refining the search experience using your expertise in information retrieval and machine learning.
Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.
About the role
In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems in search. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.
Some projects you might work on include:
Build and evaluate ranking models to improve the search experience of our users;
Analyse user journeys and derive success metrics to support product decisions;
Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings;
About You
You are a Senior Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping search solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
A Ph.D. or M.Sc. in a relevant field such as computer science or machine learning (preferred but not required)
A minimum of 5 years of experience in a full-time industry position (not academic)
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experience with Scala, Python or similar languages that are used to ship production models and systems
Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar
An ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypothesis
Worked in cross-functional teams and are able to work in multiple parts of a tech stack
Diversity at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute.
26/03/2019
Full time
What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.
We're looking for someone to join our search team as an embedded Data Scientist. You will be a member of a diverse and skilled group of Data Scientists that operate across the organisation in product teams, business intelligence and analytics. As a Senior Data Scientist on search, you will take the lead on refining the search experience using your expertise in information retrieval and machine learning.
Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.
About the role
In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems in search. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.
Some projects you might work on include:
Build and evaluate ranking models to improve the search experience of our users;
Analyse user journeys and derive success metrics to support product decisions;
Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings;
About You
You are a Senior Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping search solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
A Ph.D. or M.Sc. in a relevant field such as computer science or machine learning (preferred but not required)
A minimum of 5 years of experience in a full-time industry position (not academic)
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experience with Scala, Python or similar languages that are used to ship production models and systems
Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar
An ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypothesis
Worked in cross-functional teams and are able to work in multiple parts of a tech stack
Diversity at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute.
As a part of our fast growing team, we’re looking for an experienced Senior Data Scientist (m/w/d) who can contribute, take ownership, and help us scale our product and business.
WHAT WE OFFER YOU
A decisive role: You are part of our R&D team and get to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
An international team: Every individual matters - as a team of 14 different nationalities we value the synergy of different cultures, personalities and backgrounds.
Room for growth: We take a personal interest in your perspectives and development, so every employee has a budget for educational purposes (e.g. language or IT certificates) and realistic options for career development within the company.
A range of technologies: The Data Science team uses a range of tools depending on what is best suited for the problem: scikit-learn, Spark, Tensorflow, Databricks, XGBoost, etc.
The perks of a start-up: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.
YOUR ROLE & RESPONSIBILITIES
Devise ways using machine learning to improve our marketing and product performance to increase the quality of candidates that we bring to our clients, customize user experiences, andimprove conversions
Own a problem area, identifying ways to improve it and devising solutions
Be comfortable sharing ideas and discussing different approaches in an environment where your opinion has a direct impact, being part of our international, experienced, and highly motivated team
Be encouraged to work independently, using your conceptual and creative skills
YOUR PROFILE
2+ years of experience using & creating machine-learning solutions
2+ years of experience programming in Python and analysing data with it using packages like NumPy, SciPy, Pandas, and scikit-learn
Experience with A/B tests
Experience in statistically modelling processes or outcomes
A creative problem-solver
Interested? We are on a strong growth path, so don’t miss the chance!
26/03/2019
Full time
As a part of our fast growing team, we’re looking for an experienced Senior Data Scientist (m/w/d) who can contribute, take ownership, and help us scale our product and business.
WHAT WE OFFER YOU
A decisive role: You are part of our R&D team and get to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
An international team: Every individual matters - as a team of 14 different nationalities we value the synergy of different cultures, personalities and backgrounds.
Room for growth: We take a personal interest in your perspectives and development, so every employee has a budget for educational purposes (e.g. language or IT certificates) and realistic options for career development within the company.
A range of technologies: The Data Science team uses a range of tools depending on what is best suited for the problem: scikit-learn, Spark, Tensorflow, Databricks, XGBoost, etc.
The perks of a start-up: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.
YOUR ROLE & RESPONSIBILITIES
Devise ways using machine learning to improve our marketing and product performance to increase the quality of candidates that we bring to our clients, customize user experiences, andimprove conversions
Own a problem area, identifying ways to improve it and devising solutions
Be comfortable sharing ideas and discussing different approaches in an environment where your opinion has a direct impact, being part of our international, experienced, and highly motivated team
Be encouraged to work independently, using your conceptual and creative skills
YOUR PROFILE
2+ years of experience using & creating machine-learning solutions
2+ years of experience programming in Python and analysing data with it using packages like NumPy, SciPy, Pandas, and scikit-learn
Experience with A/B tests
Experience in statistically modelling processes or outcomes
A creative problem-solver
Interested? We are on a strong growth path, so don’t miss the chance!
As a part of our fast growing team, we are looking for an experienced Team Lead / Data Engineering (m/w/d) who can contribute, take ownership, and help us scale our product and business.
WHAT WE OFFER YOU
Manage our Data Team of 5 Full-Time Engineers: You are part of our R&D team and keen to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
Bringing our Data Team to the Next Level: Shape the development of our inhouse data engineering team - combine both your technical as well as team management experience to excel your team efforts
A Quality Oriented Development Culture: We're proud of our code, like to pair when needed and use continuous integration.
The Perks of a Startup: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.
YOUR RESPONSIBILITIES
Support, invest in and mentor a great team of engineers as they tackle an ambitious roadmap
Hire, onboard and strengthen our culture as we further grow our team in 2019
Sync and coordinate engineering-wide activities with other teams
Represent Engineering to internal and external stakeholders
Think strategically and own the important-but-not-urgent tasks
Write code yourself bringing in your expertise in Data Engineering
YOUR PROFILE
3+ years of experience in growing, mentoring and managing engineering teams
A technical background with a crossover to our stack
Technical expertise in Data Engineering or Machine Learning is a plus
You are an excellent communicator bringing in empathy, drive and smartness
Fluent in English (speech and writing), German is not a must
Our environment is built on AWS and we use various AWS services (ECS, S3, Redshift, Lambda, etc). We deploy applications using Docker images with CircleCi, and Airflow pipelines run our machine learning algorithms. Our infrastructure is built for Agile development, and our developers deploy features to production multiple times per day with CI/CD.
Our product development teams have struck a fine balance between iterating quickly while still producing high-quality code. Every member of the team has a prominent voice and is encouraged to experiment, take risks and make suggestions that will have an impact on the business.
Interested? We are on a strong growth path, so don’t miss the chance!
If you'd like to be part of a highly collaborative and cross-functional team, with limitless opportunities to learn and grow, get in touch. Send us your application and we’ll get back to you as soon as possible.
We’re excited to hear from you!
26/03/2019
Full time
As a part of our fast growing team, we are looking for an experienced Team Lead / Data Engineering (m/w/d) who can contribute, take ownership, and help us scale our product and business.
WHAT WE OFFER YOU
Manage our Data Team of 5 Full-Time Engineers: You are part of our R&D team and keen to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
Bringing our Data Team to the Next Level: Shape the development of our inhouse data engineering team - combine both your technical as well as team management experience to excel your team efforts
A Quality Oriented Development Culture: We're proud of our code, like to pair when needed and use continuous integration.
The Perks of a Startup: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.
YOUR RESPONSIBILITIES
Support, invest in and mentor a great team of engineers as they tackle an ambitious roadmap
Hire, onboard and strengthen our culture as we further grow our team in 2019
Sync and coordinate engineering-wide activities with other teams
Represent Engineering to internal and external stakeholders
Think strategically and own the important-but-not-urgent tasks
Write code yourself bringing in your expertise in Data Engineering
YOUR PROFILE
3+ years of experience in growing, mentoring and managing engineering teams
A technical background with a crossover to our stack
Technical expertise in Data Engineering or Machine Learning is a plus
You are an excellent communicator bringing in empathy, drive and smartness
Fluent in English (speech and writing), German is not a must
Our environment is built on AWS and we use various AWS services (ECS, S3, Redshift, Lambda, etc). We deploy applications using Docker images with CircleCi, and Airflow pipelines run our machine learning algorithms. Our infrastructure is built for Agile development, and our developers deploy features to production multiple times per day with CI/CD.
Our product development teams have struck a fine balance between iterating quickly while still producing high-quality code. Every member of the team has a prominent voice and is encouraged to experiment, take risks and make suggestions that will have an impact on the business.
Interested? We are on a strong growth path, so don’t miss the chance!
If you'd like to be part of a highly collaborative and cross-functional team, with limitless opportunities to learn and grow, get in touch. Send us your application and we’ll get back to you as soon as possible.
We’re excited to hear from you!
At Uniper, we believe in rewarding our employees for their hard work. We offer competitive salaries, company pensions and performance related benefits.
How we work
Our people are key to our success. Our core objective is to provide them with a supportive and entrepreneurial work environment that fosters collaboration. This allows our people to take responsibility and make optimal use of their skills. Together, we want to shape the future of energy.
What we are looking for
Uniper´s manager of our OSIsoft PI Enterprise Data Infrastructure & Applications, being the main interface with both OSIsoft and our internal IT, responsible for maintaining and supporting the system in all Uniper´s site and steering and coordinating our IT support teams and for managing the coaching and training schedules at all sites
To design and supervise the implementation of the standard PI architecture and Asset Framework structure in all sites. Steer the development of reports and tools in PI using the latest software versions to allow the business to apply analytics to plant data
To ensure that our PI data governance is complied with and to trigger its update to new requirements if needed
To build up and coordinate the PI users´ community, ensuring that is helps raise to the highest standards the skills of users across the portfolio
To lead digitisation and automation projects across the Uniper Generation portfolio by coordinating activities in various assets and countries including consultants from 3rd parties, ensuring that best practice is applied in all sites
To manage advanced data analytics projects based on, for example, commercial or operational data from different external and internal sources to deliver value to the Uniper generation business by involving the business experts, data scientists and developers to identify and prioritise valid use cases and implement those with highest value added
To build up and coordinate the generation analytics community to help make machine learning part of our daily business
Who we are seeking
University degree in Engineering, Computer Science or similar background
Demonstrate working according to the Uniper Way
Master management and implementation of all elements of the OSIsoft PI system, including AF, event frames and advanced business integrator
Extensive knowledge and experience working with I&C, data historians and/or control systems
Project experience in the Power Generation or similar business
Results, customer-centric, orientation
Experience with data modelling, software development and analytics tools such as Python, R, etc. would be a plus
Strong conceptual skills and analytical thinking, keen to work with data to infer correlations and extract useful information
Proven ability to influence across hierarchy, technology and country boundaries and managing cultural diversity even in virtual teams
Proficiency in English (C1) and advanced German (B2) required
About us
We have extensive knowledge of global and regional energy markets with their different regulatory systems and market conditions. Uniper has the equipment, knowledge and skills to succeed as an established energy business.
We have various expertise in the construction, management and operation of large power plants, as well as in the optimisation and risk management of assets and contracts. At Uniper, people work with one common goal: The reliable supply of energy.
26/03/2019
Full time
At Uniper, we believe in rewarding our employees for their hard work. We offer competitive salaries, company pensions and performance related benefits.
How we work
Our people are key to our success. Our core objective is to provide them with a supportive and entrepreneurial work environment that fosters collaboration. This allows our people to take responsibility and make optimal use of their skills. Together, we want to shape the future of energy.
What we are looking for
Uniper´s manager of our OSIsoft PI Enterprise Data Infrastructure & Applications, being the main interface with both OSIsoft and our internal IT, responsible for maintaining and supporting the system in all Uniper´s site and steering and coordinating our IT support teams and for managing the coaching and training schedules at all sites
To design and supervise the implementation of the standard PI architecture and Asset Framework structure in all sites. Steer the development of reports and tools in PI using the latest software versions to allow the business to apply analytics to plant data
To ensure that our PI data governance is complied with and to trigger its update to new requirements if needed
To build up and coordinate the PI users´ community, ensuring that is helps raise to the highest standards the skills of users across the portfolio
To lead digitisation and automation projects across the Uniper Generation portfolio by coordinating activities in various assets and countries including consultants from 3rd parties, ensuring that best practice is applied in all sites
To manage advanced data analytics projects based on, for example, commercial or operational data from different external and internal sources to deliver value to the Uniper generation business by involving the business experts, data scientists and developers to identify and prioritise valid use cases and implement those with highest value added
To build up and coordinate the generation analytics community to help make machine learning part of our daily business
Who we are seeking
University degree in Engineering, Computer Science or similar background
Demonstrate working according to the Uniper Way
Master management and implementation of all elements of the OSIsoft PI system, including AF, event frames and advanced business integrator
Extensive knowledge and experience working with I&C, data historians and/or control systems
Project experience in the Power Generation or similar business
Results, customer-centric, orientation
Experience with data modelling, software development and analytics tools such as Python, R, etc. would be a plus
Strong conceptual skills and analytical thinking, keen to work with data to infer correlations and extract useful information
Proven ability to influence across hierarchy, technology and country boundaries and managing cultural diversity even in virtual teams
Proficiency in English (C1) and advanced German (B2) required
About us
We have extensive knowledge of global and regional energy markets with their different regulatory systems and market conditions. Uniper has the equipment, knowledge and skills to succeed as an established energy business.
We have various expertise in the construction, management and operation of large power plants, as well as in the optimisation and risk management of assets and contracts. At Uniper, people work with one common goal: The reliable supply of energy.
We are the world's leading chemical company because we provide intelligent solutions - for our customers and for a sustainable future. To do so, we network and promote people with a wide variety of talents - worldwide. This opens up a variety of opportunities. With us your performance counts as well as your personality, regardless of age, origin, gender, sexual identity, disability or ideology. Careers develop from opportunities. At BASF.
The location Schwarzheide is located between the capital Berlin and the cultural metropolis Dresden, with Collaboration Rooms in Dresden as well as in Berlin. Schwarzheide is playing a pioneering role in the digital transformation of the BASF Group.
Together with us, you shape the digital future. Take the chance to join the leading chemical company.
Find out more about BASF Schwarzheide GmbH at: http://on.basf.com/Schwarzheide
What she expects
Our interdisciplinary digitalization team is driving forward the digital transformation of one of our largest production sites. We use modern methods from applied mathematics, data science, computer science and automation technology. The focus is on machine learning, big data analytics and model-based simulation and optimization.
They increase the efficiency of processes in production, supply and disposal as well as logistics through digital technologies and solutions.
You work in projects with local companies as well as with internal and external partners and promote digitalization.
Together with interdisciplinary project teams you provide workflows for statistical data analysis and develop and implement systems for data integration, data preparation and online solutions.
The focus of your work can be adapted to your abilities and interests. Examples include optimization of processes, supply and value chains, predictive maintenance or expert systems.
What we expect
We are looking for candidates who enjoy working with data and mathematical / statistical models and have extensive experience here.
Ideally, you have supplemented your above-average Master with a PhD in Applied Mathematics, Statistics, Science, Computer Science or Engineering.
You master at least one programming language z. B. R, Python, MATLAB, VBA, Java, JavaScript or C / C ++ and have experience with the development of complex software packages.
They are familiar with the latest digital trends in Industry 4.0 and are ready to quickly and independently familiarize themselves with new topics.
With your open, enthusiastic and result-oriented personality you contribute to team success and communicate safely in German and English.
We offer
A challenging task with high personal responsibility. Their training is done "on the job" in a dedicated, competent team.
Supporting our employees with different measures for reconciling work and private life.
Attractive remuneration including company benefits and outstanding development opportunities in an international company.
The processing of exciting tasks and challenging projects on site at one of BASF's largest European production sites.
Optionally, you can temporarily work in one of our Collaboration Rooms in Berlin or Dresden.
Become part of the best team with a network of more than 110,000 employees worldwide. Discover your career at BASF at on.basf.com/mycareer.
26/03/2019
Full time
We are the world's leading chemical company because we provide intelligent solutions - for our customers and for a sustainable future. To do so, we network and promote people with a wide variety of talents - worldwide. This opens up a variety of opportunities. With us your performance counts as well as your personality, regardless of age, origin, gender, sexual identity, disability or ideology. Careers develop from opportunities. At BASF.
The location Schwarzheide is located between the capital Berlin and the cultural metropolis Dresden, with Collaboration Rooms in Dresden as well as in Berlin. Schwarzheide is playing a pioneering role in the digital transformation of the BASF Group.
Together with us, you shape the digital future. Take the chance to join the leading chemical company.
Find out more about BASF Schwarzheide GmbH at: http://on.basf.com/Schwarzheide
What she expects
Our interdisciplinary digitalization team is driving forward the digital transformation of one of our largest production sites. We use modern methods from applied mathematics, data science, computer science and automation technology. The focus is on machine learning, big data analytics and model-based simulation and optimization.
They increase the efficiency of processes in production, supply and disposal as well as logistics through digital technologies and solutions.
You work in projects with local companies as well as with internal and external partners and promote digitalization.
Together with interdisciplinary project teams you provide workflows for statistical data analysis and develop and implement systems for data integration, data preparation and online solutions.
The focus of your work can be adapted to your abilities and interests. Examples include optimization of processes, supply and value chains, predictive maintenance or expert systems.
What we expect
We are looking for candidates who enjoy working with data and mathematical / statistical models and have extensive experience here.
Ideally, you have supplemented your above-average Master with a PhD in Applied Mathematics, Statistics, Science, Computer Science or Engineering.
You master at least one programming language z. B. R, Python, MATLAB, VBA, Java, JavaScript or C / C ++ and have experience with the development of complex software packages.
They are familiar with the latest digital trends in Industry 4.0 and are ready to quickly and independently familiarize themselves with new topics.
With your open, enthusiastic and result-oriented personality you contribute to team success and communicate safely in German and English.
We offer
A challenging task with high personal responsibility. Their training is done "on the job" in a dedicated, competent team.
Supporting our employees with different measures for reconciling work and private life.
Attractive remuneration including company benefits and outstanding development opportunities in an international company.
The processing of exciting tasks and challenging projects on site at one of BASF's largest European production sites.
Optionally, you can temporarily work in one of our Collaboration Rooms in Berlin or Dresden.
Become part of the best team with a network of more than 110,000 employees worldwide. Discover your career at BASF at on.basf.com/mycareer.
Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.
Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.
Job Description
The Data Scientist at Smaato is an experienced builder of intelligent systems as well as cloud based machine learning solutions. How? Our cutting edge platform is processing an average of 6 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners. With your inquisitiveness, and primary data research, you get to process these vast amount of data, and create comprehensive stories around your results. Besides developing cloud-based solutions to user-story based requirements you will mentor junior developers and build software to pass automated acceptance tests.
Key responsibilities:
Support the business and product stakeholders by developing machine learning algorithms
You will design, develop and deliver scalable, high-performance and real-time data processing and analysis software
Evaluate and select the right technologies to build scalable solutions for our clients in the Ad-Tech industry
Solve complex problems by identifying and optimizing relevant KPIs from a multitude of data
You’ll work on the system architecture and interact with the UI Engineers to innovate vizualisations of vast data labyrinths
In our agile environment you will cooperate with the product management team and business stakeholders
Conduct ad-hoc analysis using Databricks Notebooks
We trust you to share responsibility for all team deliverables
Qualifications
Solid work experience in statistics, AI, and developing productive machine learning-based solutions
Master Degree or equivalent experience in a quantitative field (Computer Science, Statistics, Engineering, Artificial Intelligence, etc.)
Deep understanding of data technologies and tools
You are familiar with Spark and cloud-based AWS services
Over the past years you gained experience in programming with JVM languages and Python, relational and NoSQL databases like MySQL, Postgres, and Vertica
Familiarity with the online- or mobile advertising business counts as strong plus
You hold a valid work permit for the German market
Additional Information
Perks of being a Smaatie
Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!
Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.
Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.
The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.
A Buddy-Program offers new employees from abroad assistance for their start in a new country.
25/03/2019
Full time
Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.
Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.
Job Description
The Data Scientist at Smaato is an experienced builder of intelligent systems as well as cloud based machine learning solutions. How? Our cutting edge platform is processing an average of 6 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners. With your inquisitiveness, and primary data research, you get to process these vast amount of data, and create comprehensive stories around your results. Besides developing cloud-based solutions to user-story based requirements you will mentor junior developers and build software to pass automated acceptance tests.
Key responsibilities:
Support the business and product stakeholders by developing machine learning algorithms
You will design, develop and deliver scalable, high-performance and real-time data processing and analysis software
Evaluate and select the right technologies to build scalable solutions for our clients in the Ad-Tech industry
Solve complex problems by identifying and optimizing relevant KPIs from a multitude of data
You’ll work on the system architecture and interact with the UI Engineers to innovate vizualisations of vast data labyrinths
In our agile environment you will cooperate with the product management team and business stakeholders
Conduct ad-hoc analysis using Databricks Notebooks
We trust you to share responsibility for all team deliverables
Qualifications
Solid work experience in statistics, AI, and developing productive machine learning-based solutions
Master Degree or equivalent experience in a quantitative field (Computer Science, Statistics, Engineering, Artificial Intelligence, etc.)
Deep understanding of data technologies and tools
You are familiar with Spark and cloud-based AWS services
Over the past years you gained experience in programming with JVM languages and Python, relational and NoSQL databases like MySQL, Postgres, and Vertica
Familiarity with the online- or mobile advertising business counts as strong plus
You hold a valid work permit for the German market
Additional Information
Perks of being a Smaatie
Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!
Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.
Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.
The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.
A Buddy-Program offers new employees from abroad assistance for their start in a new country.
Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.
Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.
Job Description
The Big Data Engineer works on our SaaS platform, and brings passionate inquisitiveness, primary research, and forward thinking to every assignment. Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Engineer builds software to pass automated acceptance tests and to deliver sprint commitments.
You can expect a very international team of Engineers who are based in Hamburg. As part of our self-organizing Scrum teams you'd be structuring 2-weeks-sprints following iterative methods. Our team sizes vary between 4 and 7 Engineers. The hierarchies are set efficiently and the management style can be called hands-off; in other words, you are trusted to manage your own work.
Key responsibilities:
Design, develop, deliver and operate scalable, high-performance, real-time data processing software.
Work proactively on the system architecture.
Participate in the evaluation and selection of right technologies.
Support the business and product stakeholders by developing new and innovative data driven products.
Interact with UI/UX Engineer to develop innovative ways to visualize huge amounts of data.
Collaboration with the product management team to incorporate the needs of our customers.
Qualifications
Several years of experience in big data technologies and tools.
You enjoy operating your applications in production and strive to make on-calls obsolete.
Bachelor degree in Computer Science or equivalent.
Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases.
Familiarity with the AWS-Stack of advantage.
Profound experience in programming with Java, Scala or a similar programming language.
Knowledge and experience in statistics methods, machine learning and AI.
Experience with relational database systems.
Additional Information
Perks of being a Smaatie
Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!
Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.
Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.
The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.
A Buddy-Program offers new employees from abroad assistance for their start in a new country.
25/03/2019
Full time
Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.
Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.
Job Description
The Big Data Engineer works on our SaaS platform, and brings passionate inquisitiveness, primary research, and forward thinking to every assignment. Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Engineer builds software to pass automated acceptance tests and to deliver sprint commitments.
You can expect a very international team of Engineers who are based in Hamburg. As part of our self-organizing Scrum teams you'd be structuring 2-weeks-sprints following iterative methods. Our team sizes vary between 4 and 7 Engineers. The hierarchies are set efficiently and the management style can be called hands-off; in other words, you are trusted to manage your own work.
Key responsibilities:
Design, develop, deliver and operate scalable, high-performance, real-time data processing software.
Work proactively on the system architecture.
Participate in the evaluation and selection of right technologies.
Support the business and product stakeholders by developing new and innovative data driven products.
Interact with UI/UX Engineer to develop innovative ways to visualize huge amounts of data.
Collaboration with the product management team to incorporate the needs of our customers.
Qualifications
Several years of experience in big data technologies and tools.
You enjoy operating your applications in production and strive to make on-calls obsolete.
Bachelor degree in Computer Science or equivalent.
Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases.
Familiarity with the AWS-Stack of advantage.
Profound experience in programming with Java, Scala or a similar programming language.
Knowledge and experience in statistics methods, machine learning and AI.
Experience with relational database systems.
Additional Information
Perks of being a Smaatie
Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!
Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.
Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.
The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.
A Buddy-Program offers new employees from abroad assistance for their start in a new country.
trinamiX ist der Pionier der adaptiven 3D-Messtechnologie. 2015 wurde die trinamiX GmbH als 100-prozentige Tochter der BASF SE, dem weltweit führenden Chemieunternehmen, gegründet. Wir entwickeln die vielseitigsten Sensorsysteme der adaptiven 3D-Messtechnologie. Wir vereinfachen Messmethoden und ermöglichen neue Anwendungen. Dafür suchen wir zielstrebige Persönlichkeiten, die unser dynamisches Team unterstützen. Unsere Eigenständigkeit als Start-up, verbunden mit den Kompetenzen der BASF-Gruppe, ermöglicht uns eine schnelle und flexible Produktentwicklung im Elektronik- und Sensormarkt. Der Firmensitz in Ludwigshafen liegt im Zentrum der Metropolregion Rhein-Neckar. Ein umfangreiches und vielfältiges Kultur- und Freizeitangebot macht diese Region attraktiv.
Mehr über die trinamiX GmbH erfahren Sie unter www.trinamix.de
Was Sie erwartet
In der Einheit Imaging entwickeln wir einzigartige Algorithmen, die in Kombination mit Lichtprojektoren und CMOS-basierten Kamerasystemen die simultane Erfassung von Tiefeninformation und Materialeigenschaften in bildgebender Form ermöglichen. Die Fusion von Bilddaten, Tiefeninformation und Materialparametern mit einem Kamerasystem ermöglicht die nächste Generation des Maschinensehens.
Als hochmotivierte_r Datenwissenschaftler_in unterstützen Sie unser Team dabei, Robotikanwendungen sowie die biometrische Erfassung in mobilen Anwendungen auf die nächste Stufe zu bringen.
Dazu designen und validieren Sie Bild-, Tiefen- und Materialdatensätze, die mit unserem speziellen XperYenZ-Kamerasystem aufgenommen werden.
Außerdem werten Sie diese Datensätze hinsichtlich der Modellbildung zur Objektidentifizierung, Objektorientierung im Raum und Bildsegmentierung mit unserer XperYenZ-Technologie aus.
Des Weiteren unterstützen Sie die Algorithmenentwicklung durch den Einsatz von Datenmodellen sowie die Produktentwicklung im Bereich Robotik und Smartphone.
Was wir erwarten
Sie haben Ihr Studium der Physik, Informatik oder Mathematik erfolgreich abgeschlossen und im Bereich Data-Mining, Machine Learning oder Statistik Berufserfahrung gesammelt oder promoviert.
Mit Datenanalysen und Datenvalidierung im Rahmen statistischer Verfahren kennen Sie sich aus und die Auswertung von Bilddaten bereiten Ihnen keine Schwierigkeiten.
Außerdem verfügen Sie über solide Kenntnisse im Umgang mit R oder PyData und sind erfahren mit Methoden des überwachten und unüberwachten Lernens.
Aus diesem Grund sind Dimensions-Reduktion, Clustering oder Klassifizierung, PCA, mean shift, k-Means, SVM, Random Forrest und Deep learning keine Fremdwörter für Sie.
Idealerweise bringen Sie Kenntnisse im Rapid Prototyping (z.B. Python), C++, Tensor Flow mit Keras und Design of Experiments mit.
Wenn Sie sich zudem für neue Ideen begeistern, gern kreative Lösungen entwickeln und auch komplexe Sachverhalte in deutscher und englischer Sprache verständlich vermitteln können, freuen wir uns auf Ihre Bewerbung!
Wir bieten
Ein anspruchsvolles Aufgabengebiet mit Eigenverantwortung. Ihre Einarbeitung erfolgt "on the job" in einem engagierten, kompetenten Team.
Unterstützung unserer Mitarbeiterinnen und Mitarbeiter mit unterschiedlichen Maßnahmen bei der Vereinbarkeit von Beruf und Privatleben.
Attraktive Vergütung einschließlich betrieblicher Sozialleistungen sowie hervorragende Entwicklungschancen in einem internationalen Unternehmen.
25/03/2019
Full time
trinamiX ist der Pionier der adaptiven 3D-Messtechnologie. 2015 wurde die trinamiX GmbH als 100-prozentige Tochter der BASF SE, dem weltweit führenden Chemieunternehmen, gegründet. Wir entwickeln die vielseitigsten Sensorsysteme der adaptiven 3D-Messtechnologie. Wir vereinfachen Messmethoden und ermöglichen neue Anwendungen. Dafür suchen wir zielstrebige Persönlichkeiten, die unser dynamisches Team unterstützen. Unsere Eigenständigkeit als Start-up, verbunden mit den Kompetenzen der BASF-Gruppe, ermöglicht uns eine schnelle und flexible Produktentwicklung im Elektronik- und Sensormarkt. Der Firmensitz in Ludwigshafen liegt im Zentrum der Metropolregion Rhein-Neckar. Ein umfangreiches und vielfältiges Kultur- und Freizeitangebot macht diese Region attraktiv.
Mehr über die trinamiX GmbH erfahren Sie unter www.trinamix.de
Was Sie erwartet
In der Einheit Imaging entwickeln wir einzigartige Algorithmen, die in Kombination mit Lichtprojektoren und CMOS-basierten Kamerasystemen die simultane Erfassung von Tiefeninformation und Materialeigenschaften in bildgebender Form ermöglichen. Die Fusion von Bilddaten, Tiefeninformation und Materialparametern mit einem Kamerasystem ermöglicht die nächste Generation des Maschinensehens.
Als hochmotivierte_r Datenwissenschaftler_in unterstützen Sie unser Team dabei, Robotikanwendungen sowie die biometrische Erfassung in mobilen Anwendungen auf die nächste Stufe zu bringen.
Dazu designen und validieren Sie Bild-, Tiefen- und Materialdatensätze, die mit unserem speziellen XperYenZ-Kamerasystem aufgenommen werden.
Außerdem werten Sie diese Datensätze hinsichtlich der Modellbildung zur Objektidentifizierung, Objektorientierung im Raum und Bildsegmentierung mit unserer XperYenZ-Technologie aus.
Des Weiteren unterstützen Sie die Algorithmenentwicklung durch den Einsatz von Datenmodellen sowie die Produktentwicklung im Bereich Robotik und Smartphone.
Was wir erwarten
Sie haben Ihr Studium der Physik, Informatik oder Mathematik erfolgreich abgeschlossen und im Bereich Data-Mining, Machine Learning oder Statistik Berufserfahrung gesammelt oder promoviert.
Mit Datenanalysen und Datenvalidierung im Rahmen statistischer Verfahren kennen Sie sich aus und die Auswertung von Bilddaten bereiten Ihnen keine Schwierigkeiten.
Außerdem verfügen Sie über solide Kenntnisse im Umgang mit R oder PyData und sind erfahren mit Methoden des überwachten und unüberwachten Lernens.
Aus diesem Grund sind Dimensions-Reduktion, Clustering oder Klassifizierung, PCA, mean shift, k-Means, SVM, Random Forrest und Deep learning keine Fremdwörter für Sie.
Idealerweise bringen Sie Kenntnisse im Rapid Prototyping (z.B. Python), C++, Tensor Flow mit Keras und Design of Experiments mit.
Wenn Sie sich zudem für neue Ideen begeistern, gern kreative Lösungen entwickeln und auch komplexe Sachverhalte in deutscher und englischer Sprache verständlich vermitteln können, freuen wir uns auf Ihre Bewerbung!
Wir bieten
Ein anspruchsvolles Aufgabengebiet mit Eigenverantwortung. Ihre Einarbeitung erfolgt "on the job" in einem engagierten, kompetenten Team.
Unterstützung unserer Mitarbeiterinnen und Mitarbeiter mit unterschiedlichen Maßnahmen bei der Vereinbarkeit von Beruf und Privatleben.
Attraktive Vergütung einschließlich betrieblicher Sozialleistungen sowie hervorragende Entwicklungschancen in einem internationalen Unternehmen.
Project A is the operational VC that provides its ventures with capital, an extensive network and exclusive access to a wide range of operational expertise. The Berlin-based investor makes use of the €260m in assets under its management to back early-stage companies in the digital technology space. With its unique organizational structure featuring 100 operational experts, Project A offers its portfolio companies hands-on support in the areas of Software Engineering, Digital Marketing, Design, Communications, Business Intelligence, Sales and Recruiting. The portfolio includes companies such as Artisense, Catawiki, Horizn Studios, KRY, LIQID, Spryker, uberall and WorldRemit. You can find more information at www.project-a.com and on the blog insights.project-a.com .
We are looking for:
A new team member for one of our portfolio companies.
What will keep you challenged?
Build data-driven applications for our ventures: data warehouses, marketing automations, recommendation engines etc.
Integrate data from various systems into flexible and consistent representations. You will make sure that all people and IT systems in the organization have easy access to data through various front-ends and interfaces.
Adapt our toolset to ever new challenges
Work in an agile software development process in close collaboration with the BI team
Which traits contribute to your success?
A master's degree in computer science or a comparable qualification
Genuine interest in data and algorithms and excitement about solving difficult problems
Knowledge of the following basic tools of software engineering: programming in multiple languages, HTTP and current web technologies, the unix command line and basic server administration, version control systems, a basic understanding of the interplay between software and memory, hard discs and the CPU
Profound knowledge about the inner workings of database systems
Eagerness to delve into new technologies and programming languages
Basic understanding of mathematics and machine learning
Ability to turn data science into something that creates business value ( for more click here )
Our current Stack:
Mac or Linux, Python, bash scripts, Makefiles.
Our own open-source data integration framework Mara ( for more click here ), but also Airflow and Luigi
PostgreSQL for ETL ( for more click here ), Kinesis & BigQuery for event collection and querying
AWS, GCP, Azure, Saltstack, Ansible
What to expect working with us:
Becoming part of a highly motivated and professional team
Having the unique opportunity to experience and to make an impact on recently founded companies
Working independently, have all freedom you need and are thus able to personally grow and develop yourself on a constant basis
Working at a modern and well-equipped office in the heart of Berlin
Benefiting from a communicative, creative and stimulating environment
Do you want to be part of our success story? We are looking forward to your online application.
25/03/2019
Full time
Project A is the operational VC that provides its ventures with capital, an extensive network and exclusive access to a wide range of operational expertise. The Berlin-based investor makes use of the €260m in assets under its management to back early-stage companies in the digital technology space. With its unique organizational structure featuring 100 operational experts, Project A offers its portfolio companies hands-on support in the areas of Software Engineering, Digital Marketing, Design, Communications, Business Intelligence, Sales and Recruiting. The portfolio includes companies such as Artisense, Catawiki, Horizn Studios, KRY, LIQID, Spryker, uberall and WorldRemit. You can find more information at www.project-a.com and on the blog insights.project-a.com .
We are looking for:
A new team member for one of our portfolio companies.
What will keep you challenged?
Build data-driven applications for our ventures: data warehouses, marketing automations, recommendation engines etc.
Integrate data from various systems into flexible and consistent representations. You will make sure that all people and IT systems in the organization have easy access to data through various front-ends and interfaces.
Adapt our toolset to ever new challenges
Work in an agile software development process in close collaboration with the BI team
Which traits contribute to your success?
A master's degree in computer science or a comparable qualification
Genuine interest in data and algorithms and excitement about solving difficult problems
Knowledge of the following basic tools of software engineering: programming in multiple languages, HTTP and current web technologies, the unix command line and basic server administration, version control systems, a basic understanding of the interplay between software and memory, hard discs and the CPU
Profound knowledge about the inner workings of database systems
Eagerness to delve into new technologies and programming languages
Basic understanding of mathematics and machine learning
Ability to turn data science into something that creates business value ( for more click here )
Our current Stack:
Mac or Linux, Python, bash scripts, Makefiles.
Our own open-source data integration framework Mara ( for more click here ), but also Airflow and Luigi
PostgreSQL for ETL ( for more click here ), Kinesis & BigQuery for event collection and querying
AWS, GCP, Azure, Saltstack, Ansible
What to expect working with us:
Becoming part of a highly motivated and professional team
Having the unique opportunity to experience and to make an impact on recently founded companies
Working independently, have all freedom you need and are thus able to personally grow and develop yourself on a constant basis
Working at a modern and well-equipped office in the heart of Berlin
Benefiting from a communicative, creative and stimulating environment
Do you want to be part of our success story? We are looking forward to your online application.
Project A is the operational VC that provides its ventures with capital, an extensive network and exclusive access to a wide range of operational expertise. The Berlin-based investor makes use of the €260m in assets under its management to back early-stage companies in the digital technology space. With its unique organizational structure featuring 100 operational experts, Project A offers its portfolio companies hands-on support in the areas of Software Engineering, Digital Marketing, Design, Communications, Business Intelligence, Sales and Recruiting. The portfolio includes companies such as Artisense, Catawiki, Horizn Studios, KRY, LIQID, Spryker, uberall and WorldRemit. You can find more information at www.project-a.com and on the blog insights.project-a.com .
We are looking for:
A new team member for our A-Team.
What will your job look like?
Data is trending upwards📈 With the rise of digital-first business models, deriving valuable insights from data is the key differentiator for today’s companies. The Project A Data team helps our ventures to gain access to these insights through impactful analyses, advanced tracking technologies and state-of-the-art data warehouses - often built based on our own data transformation framework called Mara .
Your role in our team will be to work closely with our portfolio of digital leaders and help them implement data-driven decision making in all aspects of their business. You will be exposed to different business models, analytical problems and technology stacks all the while getting unique insights into our VC investment process - which ensures one of the steepest learning curves in Data that Germany has to offer.
Read for yourself, here .
What will keep you challenged?
Support for our ventures to establish data-driven decision-making within their organization
Pro-active identification of company and portfolio-wide improvement potentials and translation into innovative projects
Hands-on data warehousing project management including a variety of contemporary technology stacks
Development of and responsibility for reliable tracking and data acquisition with advanced tracking technologies
Advanced statistical analysis in close collaboration with our Data Engineering/ Data Science team
Deriving insights for key stakeholder teams such as marketing, sales, product management and customer support and enabling them to act upon those
Support and training of the operational departments in interpreting data and using digital analytics tools as well as our data warehouses
Which traits contribute to your success?
University degree and (more importantly) an affinity for numbers
Relevant working experience in the fields of data and analytics in fast paced, high-performance environments
Enjoy managing complex projects that keep business stakeholders up-to-date and create valuable outcomes for our ventures
Besides being an expert in SQL, you might also know Python, R or another language for data analysis – additional experience in machine learning projects is a plus
Familiarity with the data tool landscape to extract, transform, and visualize data (Google Analytics, Snowplow, Snowflake, Big Query, Redshift, PostgreSQL, Mode, Tableau, Looker,... - you name it)
Excellent analytical, and strong communication skills as well as a hands-on mentality
What to expect working with us:
Zeitgeisty technology stacks and business models
Becoming part of a highly motivated and professional team
Having the unique opportunity to experience and to make an impact on recently founded companies
Working independently, have all the freedom you need and are thus able to personally grow and develop yourself from an e xponential learning curve on a constant basis
Working at a modern and well-equipped office in the heart of Berlin
Benefiting from a communicative, creative and stimulating environment while gaining insights into investments of the leading German operational VC
Do you want to be part of our success story? We are looking forward to your online application.
22/03/2019
Full time
Project A is the operational VC that provides its ventures with capital, an extensive network and exclusive access to a wide range of operational expertise. The Berlin-based investor makes use of the €260m in assets under its management to back early-stage companies in the digital technology space. With its unique organizational structure featuring 100 operational experts, Project A offers its portfolio companies hands-on support in the areas of Software Engineering, Digital Marketing, Design, Communications, Business Intelligence, Sales and Recruiting. The portfolio includes companies such as Artisense, Catawiki, Horizn Studios, KRY, LIQID, Spryker, uberall and WorldRemit. You can find more information at www.project-a.com and on the blog insights.project-a.com .
We are looking for:
A new team member for our A-Team.
What will your job look like?
Data is trending upwards📈 With the rise of digital-first business models, deriving valuable insights from data is the key differentiator for today’s companies. The Project A Data team helps our ventures to gain access to these insights through impactful analyses, advanced tracking technologies and state-of-the-art data warehouses - often built based on our own data transformation framework called Mara .
Your role in our team will be to work closely with our portfolio of digital leaders and help them implement data-driven decision making in all aspects of their business. You will be exposed to different business models, analytical problems and technology stacks all the while getting unique insights into our VC investment process - which ensures one of the steepest learning curves in Data that Germany has to offer.
Read for yourself, here .
What will keep you challenged?
Support for our ventures to establish data-driven decision-making within their organization
Pro-active identification of company and portfolio-wide improvement potentials and translation into innovative projects
Hands-on data warehousing project management including a variety of contemporary technology stacks
Development of and responsibility for reliable tracking and data acquisition with advanced tracking technologies
Advanced statistical analysis in close collaboration with our Data Engineering/ Data Science team
Deriving insights for key stakeholder teams such as marketing, sales, product management and customer support and enabling them to act upon those
Support and training of the operational departments in interpreting data and using digital analytics tools as well as our data warehouses
Which traits contribute to your success?
University degree and (more importantly) an affinity for numbers
Relevant working experience in the fields of data and analytics in fast paced, high-performance environments
Enjoy managing complex projects that keep business stakeholders up-to-date and create valuable outcomes for our ventures
Besides being an expert in SQL, you might also know Python, R or another language for data analysis – additional experience in machine learning projects is a plus
Familiarity with the data tool landscape to extract, transform, and visualize data (Google Analytics, Snowplow, Snowflake, Big Query, Redshift, PostgreSQL, Mode, Tableau, Looker,... - you name it)
Excellent analytical, and strong communication skills as well as a hands-on mentality
What to expect working with us:
Zeitgeisty technology stacks and business models
Becoming part of a highly motivated and professional team
Having the unique opportunity to experience and to make an impact on recently founded companies
Working independently, have all the freedom you need and are thus able to personally grow and develop yourself from an e xponential learning curve on a constant basis
Working at a modern and well-equipped office in the heart of Berlin
Benefiting from a communicative, creative and stimulating environment while gaining insights into investments of the leading German operational VC
Do you want to be part of our success story? We are looking forward to your online application.
