GfK is looking for a (Junior) Machine Learning Engineer (m/f) in Nuremberg GfK is a technology company active in the market research area. With immediate effect, we are looking for development support for our Global Data Science group. You are not only looking for the next gig for your CV but for a permanent occupation in an interesting and continuously changing environmenta good fit for our culture and also you will add value to itan future expert in development of custom machine learning models from prototyping to scalable implementations.

Requisition ID: 154652 Work Area: Software-Design and Development Location: Berlin Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time  COMPANY DESCRIPTION SAPs vision is to help the world run better and improve peoples lives. As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively.

We want to grow our successful German business and therefore we are looking for a Senior Data Scientist (m/f) based in Berlin, Germany. Your tasks You analyze our data and prototype demand forecasting and customer behavior models You use statistical models to answer real-life questions like You answer questions such as “How many people will travel from Berlin to Munich during  Octoberfest?”, “What are the effects of price changes?”, “What will be the new trending vacation destinations next summer?

As a Data Engineer - Data Product you will be working in a small and multi-disciplinary team solving unique relevance challenges. You will have significant ownership and responsibility in using data and machine learning to impact our customers and business. About GetYourGuide: With 400+ employees from 50 nationalities, GetYourGuide is on a mission to turn trips into amazing experiences, using our product and technology to change the way travelers find and book things to do and explore their destination.

The MYTOYS Group with headquarters in Berlin belongs to the Otto Group and is the leading European e-commerce company with a focus on families. In addition to myToys, our online store for toys and children’s products, the MYTOYS GROUP includes the brands mirapodo, one of the largest online shoe shops in Germany, the ladies fashion online store ambellis, the home and living specialist yomonda as well as limango, Germany’s leading shopping community for women and young families.

Challenges that will let you grow The Big Data and Advanced Analytics Group at EY provide clients with quantitative solutions to their business needs. We cover a whole range of services such as Software Development, ERP System Analysis and Adjustment as well as Advanced Analytics. Examples are: Development of real-time analytics software to monitor business transactions, data visualization using VR with Oculus Rift + touch, cutting edge advanced analytics using high performance servers and machine learning algorithms.

Our development team is looking for a world-class data expert to provide a vision, strategy and development leadership for all data architecture and management of data for our product ecosystem. This is a rare opportunity to join a fast growing startup in a key future-oriented role. What connects us is a passion for cycling, digital technology, and good design as well as the desire to try out new things and always question the status quo.

To strengthen our international team in Berlin, we are offering a full-time position as     Machine Learning Engineer, Bid Management (m/f) Crealytics is a fast-growing technology company whose data-driven platform enables global e-commerce retailers to drive performance in product advertising and paid search. Our innovative products support our clients by automating their workflow and generating valuable intelligence. Crealytics is generating € 3 billion in annual client revenue for top internet retailers such as Footlocker, ASOS, and Harrods, enabled by 170 employees in our Berlin, London, Passau, and New York City offices.

Your day-to-day challenges: Working on one of the most innovative risk models in the fintech industryApplying statistical and machine learning techniques to predict various business outcomesData wrangling and building mathematical models for practical applicationsAutomating parts of our feature engineering pipelineResearching new methodologies to improve our model building pipelineClose co-operation with data engineering and business unitsYour skills Include: 3+ years of working experience in data science, machine learning or statisticsGood understanding of probability and statisticsSolid knowledge about data structures and algorithmsExpert knowledge in Python, specifically pandas and scikit-learnFamiliarity with standard ML techniques (e.

Sie konzipieren und bauen innovative Software-Lösungen mit leading-edge Technologien rund um Machine Learning & Advanced Analytics und helfen damit Firmen wie PostFinance, Helsana, Swiss Re oder SBB sich über Daten auf dem Markt zu differenzieren. Das tun Sie bei uns Richtig gute Softwarelösungen (MS Azure, IBM Watson) rund um Data Analytics, Stream Analytics sowie Machine Learning bauen und diese erfolgreich einführenUnsere Kunden beraten und gemeinsam eine Big Data und Analytics Strategie definierenGeschäftsrelevante Erkenntnisse durch quantitative Daten Analysen, Visualisierungen und intelligenten Algorithmen gewinnenMit Design Thinking oder Lean Startup unsere Kunden durch den Innovationsprozess begleitenDas bringen Sie mit

Requisition ID: 150616 Work Area: Software-Design and Development Location: Berlin Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time  COMPANY DESCRIPTION SAPs vision is to help the world run better and improve peoples lives. As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively.

View job and apply on the corporate career site here. Tasks: Exploring, understanding, and implementing data processing and machine learning pipelines using state of the art tools and frameworksAssessing and improving the precision, performance, and scalability of data processing and machine learning pipelinesEnsuring and sustaining production quality through continuous deployment, evaluation, and refinementRequirements: Master’s degree in Computer Science, Mathematics, Statistics or related fieldAt least 2 years of experience building Machine Learning-based productsAt least 2 years of experience in Python developmentExperience developing data processing and machine learning pipelines in Python using scikit-learn or deep learning toolkitsAbility to write well-abstracted, reusable, production grade code componentsExcellent written and communication skills in EnglishView job and apply on the corporate career site here.

As Zalando transforms from Europe’s leading e-commerce company into a multi-service platform for fashion, this is an exciting time to join us. As [insert job title], you’re part of a high performing team, building technologies that connect every part of the fashion industry. We live Radical Agility, a methodology built on trust and backed by an architecture that lets us move fast while keeping complexity low. Open Source and InnerSource development is integral to our engineering practices and culture, supported at every level.

Your responsibilities: In this role, you will be leading a team of 3 – 5 data science engineers and closely collaborate with our Data Science Expert while choosing appropriate technologies and developing our automated data science solutions. Manage, maintain and prioritize the product backlog with a focus on delivering solutions against business goals and technical requirementsDevelop use cases and requirements, write detailed feature specifications, create mock-ups and present to Product/Engineering leadershipOrganize and lead team planning meetings and provide advice, clarification and guidance during the execution of sprintsCommunicate between all stakeholders (data science experts, customers, UX design, sales, marketing, consulting, lead developers, product management) and present technical product conceptsRequirements/Qualifications:

Your responsibilities: In this role, you will be leading a team of 3 – 5 data science engineers and closely collaborate with our Data Science Expert while choosing appropriate technologies and developing our automated data science solutions. Manage, maintain and prioritize the product backlog with a focus on delivering solutions against business goals and technical requirementsDevelop use cases and requirements, write detailed feature specifications, create mock-ups and present to Product/Engineering leadershipOrganize and lead team planning meetings and provide advice, clarification and guidance during the execution of sprintsCommunicate between all stakeholders (data science experts, customers, UX design, sales, marketing, consulting, lead developers, product management) and present technical product conceptsRequirements/Qualifications:

We are Covestro. We are curious. We are courageous. We are colorful. We redefine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 16,000 colleagues now and together we will MAKE the world a brighter place. Senior Data Engineer (m/f) YOUR TASKS AND RESPONSIBILITIES The newly founded Advanced Analytics department is tasked to tame the data generated within the Covestro group, utilizing machine learning and artificial intelligence for solving data use cases and providing expert advise on all these topics.

We are Covestro. We are curious. We are courageous. We are colorful. We redefine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 16,000 colleagues now and together we will MAKE the world a brighter place. Senior Data Scientist (m/f) YOUR TASKS AND RESPONSIBILITIES The newly founded Advanced Analytics department is tasked to tame the data generated within the Covestro group, utilizing machine learning and artificial intelligence for solving data use cases and providing expert advise on all these topics.

The EPFL Extension School is looking for an experienced data science instructor to join our team. The course instructor will be responsible for assisting our learners as they progress through our courses and programs (for curriculum details please see our web site). This will mean supporting learners through 1-1 chat, group chat, support forum, for their course and capstone project work and presentations. The role will also involve creating and grading exercises and projects for learners.

Do you want to have a major impact on the performance of advertisers (online travel agencies, hotel chains and hoteliers) on a leading global hotel search? Our Data Science team seeks an analytical mastermind to dig into the data of over 1.8 million hotels and develop an automated bidding algorithm that will allow our advertisers to hit their targets on our website. What you’ll do: You will push to improve your algorithm’s accuracy and employ the best possible analytics models, always keeping business priorities in mind.

You Are Ready To Make An Impact As Zalando transforms from a pure online retailer to a fashion platform, we bring fashion competency and branding expertise to the game by connecting all the players in the industry: consumers, stylists, designers, brands, influencers, and, online and offline stores. By providing a bold mix of global brands, local designers and specialist labels, we create fresh concepts, high-impact campaigns, smart applications and innovative partnerships.