JOIN OUR TEAM AT BONN FOR A FULL-TIME POSITION, STARTING AS SOON AS POSSIBLE.
DATA SCIENTIST (M / F / X)
DO YOU HAVE PLENTY OF KNOWLEDGE AND WANT TO MAKE A DIFFERENCE?
WE OFFER EXCELLENT OPPORTUNITIES FOR PROBLEM SOLVERS.
The Deutsche Post DHL Group is the leading mail and logistics service provider for the world. As one of the planet's largest contractors operating in over 220 countries and territories, we see the world differently. Join our team and discover how international network that's focused on service, quality and sustainability. And not just for our customers, but for every member of our team, too.
Your tasks As Data Scientist at the Data Analytics Center of Excellence at Deutsche Post DHL Group, you want to work with our operative departments to solve concrete business problems. In a team of Data Scientists, you will apply mathematical methods as well as time series analysis, research methods and machine learning to answer a wide range of questions. Tasks might include predicting daily shipment volumes for accurate operational capacity planning, or handling the real-time optimization of costs and utilization of our transport network, which connects more than 200 countries.
Specifically, you will support us in strategic and operational data analytics projects. Taking the business requirements and operational processes into account, you want to be productive of analytical framework for data analytics projects. You will conduct data analyzes, develop mathematical models, implement prototypes and guide the team conceptually. You want to interpret modeling results in a business context and discuss with members of top management. In order to make data-driven decision-making in operations, you will want to build up the methodological skills and apply the knowledge gained from successfully-completed projects.
Your profile
University degree in Mathematics, Statistics, Physics, Computer Science
Practical experience in analyzing complex datasets and building mathematical models
Good knowledge of machine learning, statistics and / or mathematical optimization
Very good programming skills and / or experience in scripting languages (Python, R or Java)
Experience with the following Big Data technologies is a plus: Spark, Hive, Hadoop
Very good written and spoken English
Comfortable explaining complex analytical and technical content to various audiences
Energetic and success-oriented problem-solver
Independent ethics, integrity and loyalty, positive can-do attitude
Passionate team player
Your benefits We offer you excellent employee benefits, a competitive salary package and great development opportunities.
Your contact We are happy to answer your question! Please reach out to Andrea Hofmann, Lead Data Scientist, for Data Science on +49 228 189 93331 and Lisa-Marlen Schöppner for HR related questions via +49 228 189 55345.
Interested in this responsible position with its varied tasks? Please click "Apply" and send us your complete application including cover letter, CV, references and your desired salary. You can find further information on https://www.dpdhl.jobs/data-science.
We are looking forward to your application.
CONNECTING PEOPLE. IMPROVING LIVES.
#datasciencejobs
15/10/2019
Full time
JOIN OUR TEAM AT BONN FOR A FULL-TIME POSITION, STARTING AS SOON AS POSSIBLE.
DATA SCIENTIST (M / F / X)
DO YOU HAVE PLENTY OF KNOWLEDGE AND WANT TO MAKE A DIFFERENCE?
WE OFFER EXCELLENT OPPORTUNITIES FOR PROBLEM SOLVERS.
The Deutsche Post DHL Group is the leading mail and logistics service provider for the world. As one of the planet's largest contractors operating in over 220 countries and territories, we see the world differently. Join our team and discover how international network that's focused on service, quality and sustainability. And not just for our customers, but for every member of our team, too.
Your tasks As Data Scientist at the Data Analytics Center of Excellence at Deutsche Post DHL Group, you want to work with our operative departments to solve concrete business problems. In a team of Data Scientists, you will apply mathematical methods as well as time series analysis, research methods and machine learning to answer a wide range of questions. Tasks might include predicting daily shipment volumes for accurate operational capacity planning, or handling the real-time optimization of costs and utilization of our transport network, which connects more than 200 countries.
Specifically, you will support us in strategic and operational data analytics projects. Taking the business requirements and operational processes into account, you want to be productive of analytical framework for data analytics projects. You will conduct data analyzes, develop mathematical models, implement prototypes and guide the team conceptually. You want to interpret modeling results in a business context and discuss with members of top management. In order to make data-driven decision-making in operations, you will want to build up the methodological skills and apply the knowledge gained from successfully-completed projects.
Your profile
University degree in Mathematics, Statistics, Physics, Computer Science
Practical experience in analyzing complex datasets and building mathematical models
Good knowledge of machine learning, statistics and / or mathematical optimization
Very good programming skills and / or experience in scripting languages (Python, R or Java)
Experience with the following Big Data technologies is a plus: Spark, Hive, Hadoop
Very good written and spoken English
Comfortable explaining complex analytical and technical content to various audiences
Energetic and success-oriented problem-solver
Independent ethics, integrity and loyalty, positive can-do attitude
Passionate team player
Your benefits We offer you excellent employee benefits, a competitive salary package and great development opportunities.
Your contact We are happy to answer your question! Please reach out to Andrea Hofmann, Lead Data Scientist, for Data Science on +49 228 189 93331 and Lisa-Marlen Schöppner for HR related questions via +49 228 189 55345.
Interested in this responsible position with its varied tasks? Please click "Apply" and send us your complete application including cover letter, CV, references and your desired salary. You can find further information on https://www.dpdhl.jobs/data-science.
We are looking forward to your application.
CONNECTING PEOPLE. IMPROVING LIVES.
#datasciencejobs
About us
LeanIX aspires to become the number one SaaS solution to modernize IT architectures. And we are on a good way. Hundreds of well-known brands like adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, so it's a great place to work. Colleagues from various countries make our vision reality. Yes, we have to work hard to achieve our ambitious goals. But we have everything to do so. We have invested a lot in a working environment that allows everyone to thrive. We believe in open access to leadership, transparent communication, personal development, a modern air-working environment and world-class teams.
POSITION
We are looking for a Data Scientist that wants to help us discover the information hidden in vast amounts of data, and help us make smarter. Your primary focus wants to be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Key objective is to improve and extend the use of automated internal A / B testing procedures.
WHAT IS WAITING FOR YOU?
Selecting features, building and optimizing machine learning models
Data mining using state-of-the-art methods
Extending company's data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant to building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
WHAT ARE WE LOOKING FOR?
Excellent understanding of machine learning techniques and algorithms, such as Artificial Neural Networks, SVM, Random Forests, etc.
Experience with common data science toolkits, such as Python, sklearn, PyTorch, Tensorflow / Keras, etc.
Great communication skills
Experience with data visualization tools, such as D3.js, Plotly, matplotlib, etc.
Proficiency in using query languages search as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills, eg Python, Java / JavaScript
12/10/2019
Full time
About us
LeanIX aspires to become the number one SaaS solution to modernize IT architectures. And we are on a good way. Hundreds of well-known brands like adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, so it's a great place to work. Colleagues from various countries make our vision reality. Yes, we have to work hard to achieve our ambitious goals. But we have everything to do so. We have invested a lot in a working environment that allows everyone to thrive. We believe in open access to leadership, transparent communication, personal development, a modern air-working environment and world-class teams.
POSITION
We are looking for a Data Scientist that wants to help us discover the information hidden in vast amounts of data, and help us make smarter. Your primary focus wants to be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Key objective is to improve and extend the use of automated internal A / B testing procedures.
WHAT IS WAITING FOR YOU?
Selecting features, building and optimizing machine learning models
Data mining using state-of-the-art methods
Extending company's data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant to building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
WHAT ARE WE LOOKING FOR?
Excellent understanding of machine learning techniques and algorithms, such as Artificial Neural Networks, SVM, Random Forests, etc.
Experience with common data science toolkits, such as Python, sklearn, PyTorch, Tensorflow / Keras, etc.
Great communication skills
Experience with data visualization tools, such as D3.js, Plotly, matplotlib, etc.
Proficiency in using query languages search as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills, eg Python, Java / JavaScript
JOIN OUR TEAM IN BONN (GERMANY) FOR A FULL-TIME (40 HOURS PER WEEK) POSITION, STARTING AS SOON AS POSSIBLE. Data Analyst (m / f / d)
TODAY, YOU'RE STIMULATING THE WAY A CUSTOMER SUCCEEDS.
TOMORROW, YOU'RE SHAPING THE WAY THE WORLD WORKS. At DHL, people mean the world to us. That's why our goal has always been to attract and retain the best talent the world over. We provide challenge and opportunity for personal and professional development. Sharing the pride of building THE LOGISTICS COMPANY FOR THE WORLD. Customer Solutions & Innovation (CSI) is DHL's cross-divisional commercial and innovation unit. We are responsible for managing about 100 of DHL's largest and most strategically important companies providing them with sector expertise, best in class account management and most innovative products & solutions.
We are looking for a passionate Data Analyst (m / f / d). The successful candidate wants to turn data into information, into insight and into business.
Your tasks
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases / data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and "clean" data by reviewing reports to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Your profile
Technical expertise regarding data models, database design development, data mining and segmentation techniques,
Strong knowledge and experience with reporting packages (business objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) as well as knowledge of R and Python
Knowledge of statistical datasets (Excel, SPSS, SAS, etc.)
Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information
Your benefits
We offer excellent employee benefits, a competitive salary package and great development opportunities.
Your contact
Ms. Anna Kortmann is happy to answer your questions on 0049 (0) 228 182 47712.
Interested in this responsible position with its varied tasks? Please click "Apply Here" and send us your complete application, including a cover letter, CV, references, your desired salary and your earliest possible starting date. You can find further information at dpdhl.jobs.
07/10/2019
Full time
JOIN OUR TEAM IN BONN (GERMANY) FOR A FULL-TIME (40 HOURS PER WEEK) POSITION, STARTING AS SOON AS POSSIBLE. Data Analyst (m / f / d)
TODAY, YOU'RE STIMULATING THE WAY A CUSTOMER SUCCEEDS.
TOMORROW, YOU'RE SHAPING THE WAY THE WORLD WORKS. At DHL, people mean the world to us. That's why our goal has always been to attract and retain the best talent the world over. We provide challenge and opportunity for personal and professional development. Sharing the pride of building THE LOGISTICS COMPANY FOR THE WORLD. Customer Solutions & Innovation (CSI) is DHL's cross-divisional commercial and innovation unit. We are responsible for managing about 100 of DHL's largest and most strategically important companies providing them with sector expertise, best in class account management and most innovative products & solutions.
We are looking for a passionate Data Analyst (m / f / d). The successful candidate wants to turn data into information, into insight and into business.
Your tasks
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases / data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and "clean" data by reviewing reports to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Your profile
Technical expertise regarding data models, database design development, data mining and segmentation techniques,
Strong knowledge and experience with reporting packages (business objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) as well as knowledge of R and Python
Knowledge of statistical datasets (Excel, SPSS, SAS, etc.)
Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information
Your benefits
We offer excellent employee benefits, a competitive salary package and great development opportunities.
Your contact
Ms. Anna Kortmann is happy to answer your questions on 0049 (0) 228 182 47712.
Interested in this responsible position with its varied tasks? Please click "Apply Here" and send us your complete application, including a cover letter, CV, references, your desired salary and your earliest possible starting date. You can find further information at dpdhl.jobs.
About us
LeanIX aspires to become the number one SaaS solution to modernize IT architectures. And we are on a good way. Hundreds of well-known brands like adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, so it's a great place to work. Colleagues from various countries make our vision reality. Yes, we have to work hard to achieve our ambitious goals. But we have everything to do so. We have invested a lot in a working environment that allows everyone to thrive. We believe in open access to leadership, transparent communication, personal development, a modern air-working environment and world-class teams.
POSITION
We are looking for a Data Scientist that wants to help us discover the information hidden in vast amounts of data, and help us make smarter. Your primary focus wants to be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Key objective is to improve and extend the use of automated internal A / B testing procedures.
WHAT IS WAITING FOR YOU?
Selecting features, building and optimizing machine learning models
Data mining using state-of-the-art methods
Extending company's data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant to building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
WHAT ARE WE LOOKING FOR?
Excellent understanding of machine learning techniques and algorithms, such as Artificial Neural Networks, SVM, Random Forests, etc.
Experience with common data science toolkits, such as Python, sklearn, PyTorch, Tensorflow / Keras, etc.
Great communication skills
Experience with data visualization tools, such as D3.js, Plotly, matplotlib, etc.
Proficiency in using query languages search as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills, eg Python, Java / JavaScript
09/09/2019
Full time
About us
LeanIX aspires to become the number one SaaS solution to modernize IT architectures. And we are on a good way. Hundreds of well-known brands like adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, so it's a great place to work. Colleagues from various countries make our vision reality. Yes, we have to work hard to achieve our ambitious goals. But we have everything to do so. We have invested a lot in a working environment that allows everyone to thrive. We believe in open access to leadership, transparent communication, personal development, a modern air-working environment and world-class teams.
POSITION
We are looking for a Data Scientist that wants to help us discover the information hidden in vast amounts of data, and help us make smarter. Your primary focus wants to be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Key objective is to improve and extend the use of automated internal A / B testing procedures.
WHAT IS WAITING FOR YOU?
Selecting features, building and optimizing machine learning models
Data mining using state-of-the-art methods
Extending company's data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant to building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
WHAT ARE WE LOOKING FOR?
Excellent understanding of machine learning techniques and algorithms, such as Artificial Neural Networks, SVM, Random Forests, etc.
Experience with common data science toolkits, such as Python, sklearn, PyTorch, Tensorflow / Keras, etc.
Great communication skills
Experience with data visualization tools, such as D3.js, Plotly, matplotlib, etc.
Proficiency in using query languages search as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills, eg Python, Java / JavaScript
