44 jobs found in Berlin

We are looking for a Lead Data Scientist to lead a technical team and help us gain useful insight out of raw data. Lead Data Scientist Responsibilities include managing the data science team, planning projects and building analytics models. You should have a problem-solving ability and a knack for statistical analysis. If you're ready to align our business with our business goals, we'd like to meet you. Your ultimate goal is to help improve our products and business.   Responsibilities Managing a team of data scientists, machine learning engineers and big data specialists Lead data mining and collection procedures Ensure data quality and integrity Artist and analyze data problems Conceive, plan and prioritize data projects build analytic systems and predictive models test performance of data-driven products Visualize data and create reports experiment with new models and techniques Align data projects with organizational goals Requirements Proven experience as a Data Scientist or similar role Solid understanding of machine learning Knowledge of data management and visualization techniques A knack for statistical analysis and predictive modeling Strong organizational and leadership skills Excellent communication skills A business mindset

We are currently seeking detailed and results-oriented Master's or PhD graduate to support our European Competition Practice based in Paris. NERA's competition team operates across a range of geographies including Berlin, London, Paris and Madrid.   If of interest, there may be some flexibility to work in one of these offices. NERA Economic Consulting is a global firm of experts dedicated to applying economics, finance and quantitative principles to complex business and legal challenges.   For more than a century, NERA's economists have been making strategies, studies, reports, expert testimony and policy recommendations for regulatory authorities, governments and the world's leading law firms and corporations.   NERA serves clients from over 25 offices across Europe, North America and Asia Pacific. The work of NERA's European Competition Practice (Substantiv, Plural) of the infringement, and the regulatory review of mergers and acquisitions.   As a member of a young and growing team, you will support us on high-profile cases at the French, other national, EU and, together with our colleagues around the world, global level.   In a collaborative and rewarding environment, you will determine the extent to which the economic evidence is consistent with an infringement allegation, quantify the damage caused by a cartel, and advise the merging parties throughout the merger review process. Your responsibilities include, but are not limited to, Conducting literature and data research; Conceptual analysis applying the theoretical literature to the facts of a case; Management and cleaning of data; Data analysis and interpretation of results; Active participation in drafting reports, memoranda, presentations and other work products; Support of the office administration Qualifications Master's or PhD graduates in economics / econometrics, management science, statistics or a closely related field; Ability and willingness to work under tight deadlines; Familiarity with office applications, data analysis and / or symbolic computation software; Excellent French and English oral and written communication skills; As a plus, Specialization in microeconomics, industrial organization, econometrics and / or competition economics; Advanced programming skills; Fluency in other European languages; Prior private or public sector experience in competition economics Application process For more information about NERA please visit our website (www.nera.com).   For more information about careers with NERA, please visit www.nera.com/careers. If you have any questions regarding job opportunities with NERA Economic Consulting, please contact the recruitment team by emailing recruitmentlondon@nera.com. To apply, please make an application online and submit your CV, cover letter and university transcripts directly to this posting.

(View All Jobs) (https://envato.com/careers/) (http://www.envato.com/careers/open-jobs) Welcome! We're so happy you found us.   Since you've come this far, it's safe to say you're curious about our story and what career opportunities exist, so we'd love to start by introducing ourselves. Then & Now Our story (https://envato.com/blog/the-story-of-envato/) starts in 2006 with three founders in a Sydney garage (no, we're not kidding).   Born to be a loved one, with the flexibility (https://envato.com/blog/flexibility-at-the-heart-of-life-at-envato/) to do it from anywhere, Envato set to create an online community for buying and selling creative digital assets.   Nearly 13 years later, we're profitable and still totally bootstrapped.   This allows us to stay super experimental and totally focused on the best interests of our authors & customers around the world. We've built marketplaces where you can buy and sell your assets faster.   Envato Market (https://themeforest.net/), or subscribe to the # 1 unlimited subscription service for creatives, Envato Elements (https://elements.envato.com/ ).   Every day, these products continue to help everyone from freelancers to small business owners and agencies to their creative projects done. Globally, where our authors have earned over $ 750 million (http://press.envato.com/172514-envato-closes-in-on-1-billion-usd-in-), we are known and loved within the digital professional community globally. community-earnings), so we want to be a place where anyone can make with Envato.   Alongside Market & Elements, our portfolio also includes Milkshake (https://milkshake.app/), a website builder for Instagrammers, Placeit (https://placeit.net/), a smart template tool for logos, mockups, graphic design & more, Mixkit (https://mixkit.co/), for free stock footage and animation, and most recently, Twenty20 (https://www.twenty20.com/), a stock photo subscription service. With over 600 people globally, we have offices in Guadalajara, Mexico (https://envato.com/blog/placeit-joins-envato/) & Los Angeles (https://envato.com/blog/twenty20-joins-the -envato-family /), along our funky Melbourne HQ.   We pride ourselves on being super remote friendly, with a staffing population just as diverse as the global community that use our products.   To stay this sustainable as we scale, we support people to work from anywhere, that's the beach in Croatia, on the Mornington Peninsula, or from their living room. What you'll be doing Leading the vision, innovation and development of search and discovery at Envato.   You are looking for a first-class search and discovery experience for our customers. The role requires extensive research capacity to tackle a unique challenge in a variety of content types including but not limited to photos, audio, video and graphic templates.   You want to develop the ML / AI models to personalize the product and to make the most of it. Our Analytics division is a big family and wants to be welcome with love and cakes.   As part of the Data Science team within the analytics practice, you will serve as the technical subject matter expert and collaborate on a variety of initiatives. What we're looking for A postgraduate degree in a quantitative field, such as Computer Science, Mathematics, Engineering etc Proficiency in Python and / or R;   you want to perform prototyping, experimentation, and deployment of ML / AI models Extensive knowledge of machine learning and statistics Able to write well documented and production-ready code Familiar with cloud platform and concepts Experience leading project and coordination with various teams Nice to have Previous experience in shipping large scale real-time recommendations Knowledgeable of online / offline testing methodologies / metrics for search and recommendation Experience with creating embedding Hands-on experience with ElasticSearch and / or Apache Solr Hands-on experience with AWS technologies, eg EC2, S3, Redshift, and Sagemaker What we offer A fantastic culture (http://inside.envato.com/a-great-place-to-work/) of creatively minded, hard working people who are passionate about Envity and being part of its growth and success Flexible working (http://inside.envato.com/reflections-on-remote-working/) conditions - we want you to love your work We work on creating a safe, inclusive environment free from discrimination A fast paced and progressive environment where everyone has regular interaction with teammates and Envato community members from all over the world (http://inside.envato.com/reflections-on-remote-working/)! Read more from our staff about why they work at Envato by visiting www.jobadvisor.com.au/envato (http://www.jobadvisor.com.au/envato) Who should apply? We care deeply about diversity (http://inside.envato.com/proud-to-be-diverse/) and inclusion at Envato, and welcome applicants for all types, and from all backgrounds.   If you think you have the skills and experience needed for this role then we'd like to hear from you. What next? Submit a cover letter, up to date copy of your resume and answers to the below questions.   Good luck! We care about your privacy.   By submitting your application you are agreeing to our Privacy Policy.   Before you submit your application. If you read your privacy policy, please read our Privacy Policy (http://www.envato.com/privacy) before you submit your application. -------------------------------------------------- -------------------------------------------------- -------------------------------------------------- -------------------------------------------------- -------------------------------------------------- -------------------------------------------------- ----------------------------

At TomTom ... You'll move the world forward.   Every day, we create the most innovative mapping and location technologies to shape tomorrow's mobility for the better. 5,000 unique, curious, passionate problem solvers spread across the world.   We bring out the best in each other.   And together, we help the automotive industry, businesses, developers, drivers and citizens move towards a safe, autonomous world that is free of congestion and emissions. What you'll do Collect, normalize, index, integrate and publish data from multiple sources Deliver safety and security critical software and machine learning models Build pipelines with Continuous Delivery practices Maintain software delivery environments such as development, testing and production Continuously improving machine learning workflow from experiment to release stage Blueprint and provision deployment environments with configuration management Orchestrate hardware resources and automatic scheduling Utilize monitoring and reporting infrastructures Analyze metrics of software and machine learning systems Facilitate tracking machine learning models performance Design, implement and deploy APIs and interfaces Review and audit code and deployments What you'll need Strong scripting and programming skills with Bash and Python Extensive background in networking and security Profound experience with environment and deployment automation Experience in cloud engineering services using private and public cloud resources Knowledge in deploying scalable and performant applications and services Excellent documentation habits and structured working Cross-team problem solving and communication skills Ability to react to constant changes and to learn almost new technologies and languages Having fun working with multiple teams and across the whole company Mindset to work with and apply DevOps, Agile and Lean principles What's nice to have Machine Learning and Autonomous Driving / Robotics background Low-level programming and hardware knowledge Experience programming in C / C ++ Ability to hold workshops and teach cutting edge technologies Cryptography knowledge Meet your team We're Autonomous, the Berlin Division of Autonomous Driving Unit focused on establishing new mapping technologies for autonomous driving.   TomTom Automotive customers can seamlessly integrate fine-tuned, future-first mapping technology into their vehicles.   With a strong focus on computer vision and deep learning, on this team you'll help build next-generation mapping technology needed for fully autonomous vehicles. Achieve more We are self-starters who play well with others.   Every day, we solve new problems with creativity, meet new people and learn at our offices around the world.   We want to invest in your growth and are committed to supporting you.   In everything we do, we're guided by six values: We care, putting our heart into what we do;   we build trust (you can count on us);   we create - driven to make a difference;   we are confident, but do not boast;   we keep it simple, since life is complex enough;   and we have fun because life's too short to be boring. After you apply Our recruitment team wants to work hard to give you a meaningful experience throughout the process, no matter the outcome.   Your application wants to be thoroughly supervised and confident that all follow-up actions will be thorough, from assessments and interviews through your onboarding. TomTom is an equal opportunity employer We celebrate diversity, thrive on each other's differences and are committed to creating an inclusive environment at our offices around the world.   Naturally, we do not discriminate against any employee or job because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age. Ready to move the world forward?

Infinitec Solutions is reinventing software development for Banks and Enterprises to create a compelling Financial Customer Experience for their Small and Medium Enterprise (SME) clients across Europe.   Our innovation platform allows us to deliver financial management solutions (banking and non-banking) as well as third-party financial solutions. We are a tech startup located in Berlin with 40+ people from 15 countries working mainly in Engineering and Product Management.   Our management team combines years of experience in tech, banking and the SME space. What does keep you challenged? Developing and implementing data analyzes, data collection systems 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 covering both Product Analytics and Business Insights Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Working together in the business or the management team to establish and prioritize business and information needs Locate and define new process improvement opportunities Recommendations and methods for analytics collection and use Translating data insights into actions and recommendations Identifying opportunities for improving our product supported by quantitative data analysis Design and implement dynamic and creative reporting dashboards metrics and performance trends Partner with Engineering, Design, and Product Management to identify models and analyzes that could become part of the product What will make you succeed? Proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining, and segmentation techniques Strong knowledge of and experience with analytics / BI products such as: Sisense, Looker, GoodData, Tableau, Mixpanel, Amplitude, Google Analytics Focus on BOTH Product Analytics (eg Mixpanel) as well as BI type tools (eg Sisense) Strong knowledge of databases (SQL etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experiences using statistical datasets Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information Adept at queries, report writing and presenting findings BS in Mathematics, Economics, Computer Science, Information Management or Statistics Ability to analyze large datasets Strong verbal and written communication skills An analytical mind and inclination for problem-solving Attention to detail At least two years' experience in a quantitative role What do we offer? Fast-paced, entrepreneurial and tech-driven work environment. Senior and international team with leading experts in their field. Competitive salary + 28 vacation days. Flexible working hours supporting your family situation. Regular team events - we celebrate our success together. We believe in personal growth and development and help you achieve them. Strong network of companies and experts as part of the finleap family, Europe's No.1 fintech ecosystem. Office in startup hub H32 including free drinks, healthy snacks, community events and other employer benefits. Relocation and visa support for internationals. Feels like this is the role for you?   Apply here so we can let's talk more about it !!

Klarna’s mission is to free people from all the meaningless time spent managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do. Klarna was born in Stockholm in 2005 and today has 2500 employees working across Europe and the US. We currently serve 60 million consumers, work together with 130,000 merchants and process more than a million payment transactions a day. We're growing at 40% every year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group/ Anders Holch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. Data Science plays a vital role in Klarna’s operation. Historically, our focus areas have revolved around real-time risk decision-making for transactions. This can either pertain to credit assessment for individuals or identification of fraudulent transactions. Since then we have added many new data science areas such predicting customer lifetime value, predicting return behavior in e-commerce, etc. Data scientists in our Decision Services domain work on both the more mature projects, as well as the newer ones. As a (Senior) Data Scientist in Decision Services you will: Develop state of the art models to classify transactions and individuals Bring your ideas to production using AWS Be involved in the whole process of model development. This includes everything from root cause analysis, data collection and feature engineering to training, validating and implementing machine learning models, computing performance statistics and live model monitoring Work closely with several engineering teams and business analysts to find new and smart ways of consolidating data and making use of it in order to make better models and ultimately better predictions Be part of the Engineering organisation. Hence your workflow will be software-driven in terms of deploying models to production, using version control, and in general employing software engineering best practices Be innovative, cooperative, collaborative, open and have a flexible mindset with critical thinking In order to be successful in this role we believe that you will have: Strong programming skills in Python, SQL and experience with popular machine/deep learning packages (e.g. scikit-learn, keras, tensorflow, mxnet) Experience with & knowledge of: Cloud platforms such as AWS or Google Cloud; Big data using Hive, Spark, EMR The theoretical foundations of classical and recent machine learning models and algorithms, such as generalized linear models, random forests and ensemble methods, deep neural networks etc. A degree from a university in a highly technically numerate subject (e.g. Maths, Physics, Engineering or Economics).

ABOUT THE COMPANY We love what we do and we are committed to entertaining the planet.   In collaboration with major TV stations, movie studios, publishers and digital media companies, we offer more than 100 live channels as well as thousands of films and series on demand.   Pluto TV is available on all mobile, Internet and TV streaming devices.   Millions of viewers tune in every month to watch premium news, TV shows, movies, digital trend series, sports, lifestyle and more.   And that is all for free.   Pluto TV is headquartered in Los Angeles and has offices in New York, Silicon Valley, Chicago and Berlin.   For our EMEA headquarter in Berlin we are looking for   Data Analyst (w / m / d)   . POSITION OVERVIEW The Data Analyst wants to manage big sets of internal and external data to understand, acquire and predict the behavior of our viewers and digital content.   You will own the financial modeling in the digital product development process, as well as the data analysis to increase the effectiveness of our marketing / content performance / monetization efforts on our platform and other distribution portals.   You will understand the variables at play in the success of new products / business models. Additionally, the analyst should make sure that the right events are registered and trigged in order to be performed by the BI and research teams, but then requires autonomous to extract, complement, and analyze data to create insights and make business decisions for different business models (business to business, direct to consumer, etc). Pluto TV Europe departments, as well as our colleagues in the Pluto TV Los Angeles headquarters and at Viacom. ROLE AND RESPONSIBILITIES Estimating the financial impact of new products and business models, by distilling the correct variables at play, elaborating comprehensive multivariate financial models and suggesting changes in the product configuration to maximize profitability Owning the design, development, validation, and maintenance of ongoing metrics, reports, analysis, dashboards, etc. to drive key business decisions in coordination with the BI and research teams Create reports on a regular and timely basis on ROI on performance and marketing campaigns, content performance, as well as viewer behaviors cross platform and per distribution portals Conduct hands-on modeling / analytics retrieving, compiling and analyzing large volumes of digital advertising, streaming video and other data from disparate databases into distilled, actionable information and insights for content and monetization Support various departments by developing standardized reports, dashboards and executive presentations for various business KPIs Effectively present data and analysis to both internal stakeholders, external clients and 3rd parties Work across multiple European territories simultaneously and support ESSENTIAL SKILLS / REQUIREMENTS BS in Business, Economics, Engineering, Computer Science, Mathematics or a relative discipline with 2-4 years of relevant experience as a Data / BI analyst Outstanding quantitative and analytical skills Passion and interest in the media and entertainment industry and how it is affected by the current digital landscape High proficiency in Microsoft Office, especially Excel Proficiency in SQL (ANSI, RedShift, PostreSQL, Snowflake, etc.) Experience with Business Intelligence visualization tools like Tableau, Looker, Amplitude, Jupyter etc. Strong programming / scripting skills in Python, R a plus Experience with SaaS Big Data Platforms (AWS or Google Cloud) a plus Experience working with one or more BI Platforms (Alteryx, Knime, Dataiku, etc.) is a plus Ability to work independently, be self-motivated and results-oriented but still be an excellent team player Interest in finding patterns and gathering insights that can inform a business strategy Enthusiasm in learning how to use new data tools and automating tasks whenever possible Prior experience working with growth and development teams at media and startups is also a plus Fluent in English, German a plus We love what we do and we are committed to entertaining the planet.   Join us and help make our vision a reality by sending us your cover letter and CV in English with your earliest possible start date with subject: DATA ANALYST

As a profitable, global and expanding SaaS start-up from Berlin, Sellics is revolutionizing commerce on the world's largest online marketplace:   Amazon.   We implement almost exclusively   open source technology   and work using a combination of lean, agile and DevOps practices. We have developed an all-in-one solution for sellers and vendors, including everything they need to be successful on Amazon.   Our integrated toolbox offers features for all aspects of business: Amazon SEO, Profit Analysis, PPC Campaign Management, Product Research, Review and Inventory Management and Competitor Tracking.   And with more exciting features to be added in the future, we continue to shape this fast-growing industry with cutting edge software innovation. As a   bootstrapped company   , Sellics values ​​ownership and agility.   As such, we are able to listen to customers and mate their feedback, and so pay close attention to the well-being of our employees.   As a result, staff members not only enjoy working with us, but are actively involved in the development and success of the company. The high level goal is to help merchants across the world advertise on Amazon in the simplest and the most efficient way.   For this we need you to improve our conversion rate prediction modeling, time series forecasting, product clustering and much more. You want to be Selecting features, building and optimizing classifiers using machine learning techniques Doing data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Performing ad-hoc analysis to show Sellics' expertise with Amazon advertising Your background and experience that makes you a good fit for this job: A relevant PhD / MSc in Computer Science, Maths, Stats or a related area Excellent understanding of machine learning techniques and algorithms, such as LASSO, Decision Forests, NN etc. Excellence with Python Proficiency in using query languages ​​search as SQL or Postgres Good applied statistics skills, such as distributions, statistical testing, regression, etc. Why sellics? A very well located office in the heart of Berlin Mitte incl. A rooftop terrace with pool Flexible office hours Flat hierarchies with open communication High level of responsibility and space to develop Urban Sports Club membership Self Improvement Grant Free food and drinks, regular team events Participation in our annual company trip - this year, we've been to Lisbon!

We are a breakthrough Fintech startup in Berlin that aims to revolutionize small business financing. We are a team of high-calibre start-up veterans that successfully founded, grew, and sold their first company (founded Zencap, sold to Funding Circle) and are now scaling our next venture. We have a world-class team on the ground and some of the strongest investors in Europe backing our company. Based on big data analytics, fully digitalized processes and a highly scalable state of the art tech platform, we offer the simplest and fastest way for small businesses to access capital. Our innovative solution provides financing against open invoices of a small businesses – no hidden fees, no paperwork, no boring bank branches. Financing as it should be. Like that, we will make a lasting impact on small businesses that provide jobs and income for millions. Join us to create the future of small business financing! RESPONSIBILITIES This is a hands-on position, where you will be responsible for building a reliable “single source of truth” DWH, which allows BI/Risk/Management teams to do their work at its best. Technology stack includes Google Cloud Platform, AWS, Tableau, Talend Open Studio. Develop and maintain data pipelines from heterogeneous sources to DWH Design and build multidimensional DWH Guarantee data integrity Define and document data sources, models and dictionaries Perform AdHoc data analysis Build and maintain data archiving mechanisms QUALIFICATIONS B.Sc/M.Sc. in a quantitative field, with good understanding of Computer Science foundation (e.g. Data Structures, Complexity, Algorithms, etc.) SQL Wizard Solid ETL experience Familiarity with Salesforce is a plus Self-driven programmer, ideally enthusiastic about Python Excellent English; German a plus WHAT WE OFFER YOU The opportunity to be a part of one of the fastest-growing fintech startups in Europe Becoming part of an international team of highly motivated, experienced, and skilled young top performers where hierarchies don't matter, but passion and drive do A great mission - we empower small businesses, the engine of economic growth A fantastic learning opportunity to develop in the area of quantitative risk modelling A great office near Checkpoint Charlie with a free gym, healthy snacks and cereals, fruits, coffee and drinks UP FOR A CHALLENGE? We are looking forward to receiving your application.

Data Analyst Careem is the leading technology platform for the greater Middle East. A pioneer of the region’s ride-hailing economy, Careem is expanding services across its platform to include payments, delivery and mass transportation. Careem’s mission is to simplify and improve the lives of people and build a lasting institution that inspires. Established in July 2012, Careem operates in more than 120 cities across 14 countries and has created more than one million job opportunities in the region. ABOUT THE ROLE You will work closely with product and engineering teams to define and tackle focused as well as open-ended problems. In the process, you will: Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization. Help define and track the appropriate key metrics for specific projects. Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams Help design A/B and Multivariate tests and their reporting tools for product teams Collaborate with engineers to build prototype predictive models into production and re-iterate as needed. REQUIREMENTS The ideal candidate is innovative, detail-oriented, result-focused, has a solid quantitative background, business savvy, and takes full ownership of their work from the inception of the idea to the implementation of the final product. In particular, the requirements are 3+ years experience in A/B testing analysis, data mining, , time series analysis, transformation and cleaning of both structured and unstructured data. Fluency in English along with excellent oral and written communication skills. Proficiency and demonstrated experience in at least two of the following: SQL, R, Python, Spark, Hive, RapidMiner. Demonstrated experience with database technologies (e.g. Hadoop, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL) Demonstrated experience with business intelligence and visualization tools such as Tableau, MicroStrategy, ChartIO, Qlik, along with geospatial data processing skills Bachelor's degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science. Understanding of business and ability to drive decisions that affect the bottom line Knowledge of Agile methodologies BENEFITS Unlimited holidays Flexible hours Mentorship and career growth Diversity: we have 70+ nationalities on board! What do we offer you? Working in an international environment with colleagues from 70+ nationalities, ownership culture, flexible working hours, unlimited (paid!) holidays and the latest technologies. Careem gives equal opportunities. All aspects of ownership including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We celebrate diversity and are committed to creating an inclusive environment for everyone.

About us: Elucidate is a Berlin-based startup RegTech / RiskTech building an innovative SaaS-based solution for Financial Crime (FinCrime) risk management.   In short, we are providing a risk-minimization risk management platform that minimizes the risk of money laundering, corruption and terrorist financing, while ensuring strong international connectivity. You want to be doing: Establishing and vetting FinCrime data sources for analysis, including the use of proxy data sources Creating production pipelines for machine learning models Research new big data technologies and techniques for production in cloud services Extending 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 Operating effectively across all aspects of the companys operations Providing leadership, training, coaching, and guidance to junior staff Youre curious and interested in highly regulated products Worked in a bank and a startup before Experience with ETL processes and unstructured data Experience with cloud solutions Good scripting and programming skills, preferably in python Good understanding of machine learning production components Exposure to FinCrime risk management, or a comparable function such as Op Risk, Credit Risk, etc. Experience in development of machine learning models would be a plus Experience with common data science toolkits is a plus Familiarity with Google Cloud Platform is a plus

Klarna's mission is to free people from all manner of managing money and purchases, so they can do more of what they love.   Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be.   Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this.   There is no label for what we do. Klarna was born in Stockholm in 2005 and today has 2500 employees across Europe and the US.   We currently serve 60 million consumers, working together with 130,000 merchants and process more than one million payment transactions a day.   Visa, Atomico, Sequoia Capital, Permira and Bestseller group / Anders Holch Povlsen. We're growing 40% every year.   We have strong partnerships with some of the world's leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. Klarna strives to become the world's favorite way to buy.You can contribute to reaching this goal!We are looking to hire great people, who are passionate about using their talents to generate success.   Data engineering is no exception!   We are currently looking to grow our Data Domain to comply with the law. What you want to do Data management, data warehousing, real time decisioning pipelines to frameworks for data quality measures.   As a data engineer you will typically take on the role of building pipelines, data warehouse, data frameworks or different data presentation techniques. Your stakeholders wants to be Data Scientists, Business Analysts, other Engineers Insights and all Klarna employees in their daily work.   We have amazing teams that take care of and become experts in different parts of the world. Some of the languages ​​we use are Kafka, Hadoop, Spark, AWS Redshift, AWS Glue, Apache Airflow, MS SQL, Qlik Sense, Postgres, Java, Scala, different NoSQL DB: s and we are always looking for the most efficient tools for the job Who are you Klarna is looking for ambitious people with significant drive!   You should be passionate about your job and enjoy a fast paced international working environment.   You want to go to the next level, you should go to the top of the page and beyond!   At Klarna we embrace change, you should dare to challenge the status quo and be persistent. You should have Relevant education with a degree in engineering or comparable skills Experience as a Data Engineer or comparable positions Experience in some or all of the technologies we use;   Kafka, Hadoop, Spark, AWS Redshift, AWS Glue, MS SQL, Qlik Sense, Postgres, Java, Scala, NoSQL DB: s Working proficiency and communication skills in verbal and written English A burning curiosity and interest in data, fast data, big data, dark data, data governance, data models, data warehouse, data insights - or all of the above! How to apply Send over a CV and cover letter in English.

Real Time" starts here in the backend and underlines our company philosophy Tools Hadoop Python Spark MongoDB HBase MySQL NoSQL Salary 85K EUR - 95K EUR My customer is one of the largest & highest-revenue companies in the world and is considered a figurehead for customer-centric experiences.   With the success in the back one starts now a new venture in the FMCG range, which should umkrempeln the market.   Here again the in-house "tech solution" should make the difference. In this sense, my customer continues to expand his expertise in the fields of BI, CRM, Data Science.   As a result, Scalibilty and big data infrastructures are one of the cornerstones of the success of the venture. Become part of a multinational team with HQs in London, New York, Madrid, Cape Town, Tokyo & Berlin and create tomorrow's tomorrow today. Tasks Development of end-to-end big data solutions along the global group using state-of-the-art technologies (Hadoop, Spark, etc.) Evaluation and processing of huge amounts of structured and unstructured data Design & implementation of data models, data streams and APIs to enable a "Data Driven Culture " Ensuring and improving data quality Standardization of Big Data models for productive use Consulting in technology selection Working in self-organized, agile cross-functional teams with a lot of creative freedom and close cooperation with departments Intensive dialogue and training opportunities of personal, methodical and technical excellence Profile University studies eg in Computer Science, Mathematics Physics;   Gladly also committed newcomers At least!   2 years practical experience in Big Data Very good knowledge of Java, Scala or Python Good understanding of MapReduce;   ideally practical experience with the Hadoop stack, Apache Spark, Apache Flink, Google Data Flow "know how" and interest on AI Integrated software technologies and frameworks are such as Spring, Maven, Git, ItelliJ, CI, CD, Docker are you familiar Good Knowledge in SQL and NoSQL databases, eg PostgreSQL, Apache HBase, Apache Cassandra, MongoDB Experience in messaging systems, such as Apache Kafka Goodies Home Office Training Running Group Hardware Private Insurance Questions Max Mustermann Data Engineering Consultant 030 89 40 25 66 info @ flint -data.com

Are you ready to jumpstart your career in a fast-paced and innovative digital health company? We are searching for a Jr. Data Scientist who wants to work in our Berlin & Potsdam, Germany driven diagnoses, supervised by doctors. About Us: We at Medlanes are building the gateway to medicine, the way health care should work, by combining in-person and digital treatments.   The "in-person" layer is being built and is currently available for doctor visit 24/7 in 20+ cities with 500+ doctors from Medlanes.   The next big challenge is building the "digital" layer.   And we know that we could not do it without our awesome employees. We believe in a 360 degree approach that starts with digital consultations, supported by AI, that does not stop as soon as a physical examination or blood tests are needed.   In this case, we would send one of our 500+ doctors to the home of the patient.   In this way, Medlanes is managing the full medical care. Our mission is 24/7 access to affordable healthcare enabled by AI! We are pleased to announce that we are pleased to announce that we have received several grants from Bayer HealthCare, supported and funded by major venture capitalists, as well as European insurances like AXA. You want: Work on predictive intelligence, forecasting, natural language processing or computer vision. Write codes in Python. Work in an international team and collaborate on the programming tasks. You have: Minimum 0.5 Year of General Experience in Data Science, Machine Learning or Data Mining. Minimum 1 Year of Experience with Python. Good to have knowledge of Python libraries Pandas, NumPy. Worked with APIs, Databases and Git. What we offer: Apply and Enhance your knowledge in the medical space with real cases and help real people. You'll get the opportunity to build it. You'll work in one of the hottest startup sectors, as part of a young and enthusiastic team. How to Apply: You think you're the one we're looking for?   Send us your English Application (CV + Cover Letter) with the details of your Work Experience and Skills.   So, tell us your earliest start date and how to find our job posting.   Your contact person is Erik Stoffregen (CEO & Co-Founder).   We are excited to get to know you!

Klarna's mission is to free people from all manner of managing money and purchases, so they can do more of what they love.   Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be.   Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this.   There is no label for what we do. Klarna was born in Stockholm in 2005 and today has 2500 employees across Europe and the US.   We currently serve 60 million consumers, working together with 130,000 merchants and process more than one million payment transactions a day.   Visa, Atomico, Sequoia Capital, Permira and Bestseller group / Anders Holch Povlsen. We're growing 40% every year.   We have strong partnerships with some of the world's leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. We at Klarna are looking for driven and energetic Data Engineers who so happen to like Python in order to join our engineering hub in Berlin. Reduce the friction you are facing when you purchase goods online.   Our secret to achieve this is our ability to provide credit in real-time.   If you want to learn more about how to do it, there is a great opportunity to join us, aim for awesomeness and write history. We are currently serving 80 million customers and are growing 40% annually, so there are very big opportunities in one of the few profitable unicorns out there. Who are you Klarna is looking for ambitious people with significant drive!   You should be passionate about your job and enjoy a fast paced international working environment. You want to go to the next level, you should go to the top of the page and beyond! At Klarna we embrace change, you should dare to challenge the status quo and be persistent. What we expect from you Drive, this is an essential attribute if you want to thrive in Klarna's fast moving environment Optimism, being a source of can-do optimism, wants to be decisive for the whole undertaking and the teams you want to be collaborating Passion about building data platforms and pipelines Develop and optimize a unified data landscape from architecture to development and optimization in a distributed infrastructure Build, maintain and improve the availability of historical, real time and third party data pipelines Continuously improving our ELT and ETL processes for the data lakes and data warehouses behind Provide Analysts, Product Managers and BI with Complex, large scaled data storage from various data resources Knowledge of the big data tool landscape Knowledge of Python or another commercial language used for data processing like Scala You should have Relevant experience in scripting and programming using Python Expert knowledge of SQL and some knowledge / understanding of NoSQL or Postgres Proven record in the creation, maintenance and improvement of ETL and ELT processes Experience with interfaces search as RESTful APIs or RSBScript A very strong technical as well as analytical background A proven record of working within distributed infrastructures and experience in cloud technology What you can expect from us A competent compensation package based on your skill level 6 weeks of paid holidays A virtually unlimited potential to develop and grow, both personally and professionally Unlimited budget for personal development, including books, conferences and workshops Amazing relocation package to Berlin, Germany Generous pension and insurance plans Code in your spare time? Great, send a link to some of your work.   We'd love to take a look.   Here's some of our work https://github.com/klarna Klarna is an equal opportunity workplace.   Status, disability, gender identity or veteran status.   If you have a disability or special need that accommodation, please let us know. If it sounds good, go ahead and contact us!   We are looking forward to hearing from you!

Job description We are looking for a Data Engineer to join our Tech team located at the Applift HQ in Berlin-Mitte.   You want to work in a startup atmosphere with a dynamic team and want to make an impact in the growing market of ad-tech and mobile advertising. Who are we Applift is a leading mobile ad business company that empowers to connect with and activate customers in a mobile-first world by creating the next-generation platform for advertisers to reach and convert their audiences to mobile.   Applift's solutions are designed to deliver results at every point of the customer journey.   Through Applicant's Mobile Advertising Solution, app advertisers across the globe can connect with their audiences, acquire and re-engage existing users. More information: applift.com Responsibilities Design, develop and implement data ingestions and streaming processes together with our BI and analytics team Design and improve our data processes and architectures with cutting edge technologies to streamline and analyze massive data flows from our existing backend infrastructure or external sources Translate business needs into technical requirements for new projects Take responsibility for managing our data structure, data availability and reliability / quality Maintain, explore and evaluate the implementation of new technologies to address infrastructure scalability and performance challenges * 2+ years hands-on experience as a data engineer with focus on Python Extensive knowledge of databases, DWH and best engineering practices Solid knowledge of SQL with one or more databases: Postgres / MySQL / Oracle / SQL Server Experience in orchestration solutions search as Jenkins and airflow Experience working with Big Query, GCS and GCP solutions is a plus Ability to explain complex concepts to non-technical stakeholders and other team members Deep understanding of data warehousing, ETL concepts and BI tools. Be a team player and do not mind "getting your hands dirty" to support others Think big and have a passion for achievement Experience in deployment tools, GIT What we offer Enjoy a competitive salary package and benefit from a tailored career development path Take responsibility from day one and manage projects that will have a significant impact on Applift's success Be part of a multicultural team (30+ nationalities) that is bringing mobile advertising to the next level Health Insurance Work from home opportunity Benefit from working with some of the most experienced professionals of our industry and constantly grow with us Join one of the top mobile advertising companies worldwide

The Role Zattoo is the leading player in the TV as a service space in Europe serving several million TV users and dozens of B2B customers, helping them what they want, where they want, when they want.   We are looking for a BI analyst (f / m / x) with a technical mindset to support our teams to make the best data-informed decisions. You are looking for a team of experienced business people and business analysts.   You should be able to understand business driven data problems as well as tech infrastructure and the data pipeline. What you'll do 6TB of data daily. Collaborate closely with our Data Engineers to ensure quality and usability of data Develop the data model, add new data sources and transform those into insights Create automated reports and dashboards Work in sprints and together with the BI team answer ad hoc requests and data related topics Help foster a data-driven culture throughout the Zattoo team and apply best practices What you'll bring 3+ years Experience as a Data or BI analyst Ability to easily form and improve SQL queries (PostgreSQL) Experience with data visualization through reports, dashboards or other tools (eg Tableau), and Microsoft Excel / Google Sheets Hands-on mentality, solution-oriented and structured thinking, very analytical problem solver, high attention to detail The ability and drive to self-organize and continuously improve things Interest in high technical topics and a good feeling for large amounts of data Knowledge in programming languages, preferably Bash and Python Fluency in English Bonus: Experience with statistical methods Experience with any of the following: Vertica, Google BigQuery, Google Analytics Here's what we offer you Highly motivated, growing, diverse team made up of 26 different nationalities Flexible work schedules and options to work from home Flat hierarchies and open door policy Competitive compensation and vacation entitlement Social events ranging from monthly pizza and drinks to daily three day off site company meetings Free yoga classes, German language classes and health checks ️ The Product Team At the heart of Zattoo's organization there is a group of people who are extremely passionate about TV Products and Technology.   This diverse group of engineers, product managers, designers, SRE, network, QA and support specialists covers a large area of ​​expertise and is building our vision of the streaming age TV platform.   We value high quality, user oriented and sustainable work and strive for the forefront of technology and collaboration. We encourage people to express their ideas and give autonomy and focus to independent teams.   Our dream TV content is the simplest and most comfortable way.   We see our strength in disrupting traditional broadcasting technology while collaborating closely with the great companies that produce this content. We're Zattoo Zattoo enables our users to view indiscriminately and we'll reflect that in our team too.   Regardless of race, gender, sexual orientation, religion, national origin, age, disability or any other disposition.   We are an equal opportunities employer, join us and help build a diverse team dedicated to revolutionizing the way you watch TV. You can learn more about us at:   https://zattoo.com Join us and become part of our Stream Team!