PMI is building a smoke-free future. This is your chance to be part of the biggest transformation in the history of our company. The transformation touches every part of our business. Our products. The relationships we have with our customers. The partnerships we build. The messages we communicate. The technology we employ. And, every step of the way, data has a key part to play, making this an ideal time to join us.

Scientific Developer / Data Science Engineer - Recommender Systems We are looking for a talented Scientific Developer to join our Berlin office. You will be joining our team that is responsible for development and maintenance of our recommender system. Our team mission is to deliver personalized adverts that benefit both our advertisers and their clients in a fun and supportive environment. What you’ll be doing: • Researching new algorithms to support the real time and offline components of our recommender system.

PMI is building a smoke-free future. This is your chance to be part of the biggest transformation in the history of our company. The transformation touches every part of our business. Our products. The relationships we have with our customers. The partnerships we build. The messages we communicate. The technology we employ. And, every step of the way, data has a key part to play, making this an ideal time to join us.

Your tasks – this is what awaits you in detail As Data Scientist (f/m/d) at real.digital you will drive forward the further development of the marketplace on the basis of data: Working as part of a team you will develop complex data products which will be incorporated into business processes and generate added value for the businessDeveloping applications and models for analytical approaches and for data-driven algorithms, such as classifications or other data mining and machine learning applicationsImproving product data through the use of text and image analysisRecognising patterns, clusters and correlations, e.

Was Du mitbringst Du studierst Wirtschaftsinformatik oder BetriebswirtschaftslehreIdealerweise liegt dein Schwerpunkt auf Data Science, Business Analytics, Machine Learning oder Big Data ManagementEine Ausgeprägtes Interesse zu Tools wie beispielsweise MS Excel, MS Access, MySQL sowie PIM-, ERP- & SHOP-Systeme ist dein MarkenzeichenDu arbeitest analytisch, präzise und verbindlich, auch bei einem hohen ArbeitsaufkommenDeine kooperative Ader kombiniert mit einer gesunden Prise Humor machen dich zum geborenen TeamplayerSehr gute Deutschkenntnisse in Wort und SchriftWas Du machen wirst

Für München suchen wir eine/n Machine Learning Engineer (m/w/d) Du findest, dass Elektroautos die Zukunft sind? Für Dich ist Programmieren mehr als nur ein Job und Du kannst Projekte vorweisen, auf die Du besonders stolz bist? Wir ermöglichen es durch einen digitalen Zwilling, den Gesamtzustand von Lithium-Ionen-Batterien in Elektrofahrzeugen in Echtzeit präzise zu analysieren und ihre Lebensdauer vorherzusagen. Das klingt spannend für Dich und Du willst uns dabei unterstützen? Dann bewirb Dich bei der TWAICE-Familie!

Backend-Developer as Co-Founder for Data Analytics Startup in Munich (m/f/x) NebuMind develops a data analytics platform for production factories to better understand and improve the quality of their products. Unlike today’s industry 4.0 tools focusing on the performance of machines, NebuMind focuses on the quality of the produced parts. Key is NebuMind’s new approach to data management – collecting, storing and assigning machine and sensor data to every part which is under production.

At Saloodo! we are looking for an experienced Data Scientist to join our rapidly growing dynamic Data & AI team and help us building the future of digital logistics. Transportation is all about efficiency, high performance, reliability and commitment. A perfect world to disrupt with data and technology-driven business models. Jump on board and let’s form the future world of logistics together! Responsabilities: Being pro-active in applying and developing state-of-the-art and innovative machine learning/artificial intelligence technologies to pursue the vision and mission of Saloodo!

What you will do and learn Work alongside our CTO and take responsibility for the company and your own learning journeyManage own projects from writing high-quality code to documentation and testingCI, deployment and integration of additional AWS services into our infrastructure to further utilize analytical and optimization potential What you will do, will be heavily dependent on both your skills, experience, and personal development goals.  What you should bring to the table Most of all, curiosity and personal fit with current team Experience in the AWS ecosystem (EB, EC2, Lambda, Infrastructure, Data pipelines)Experience in Ruby on Rails and React (comparable languages do qualify)Ideally, experience with machine learning, python, sagemakerWe believe in talent and curiosity.

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.

THE ROLE As a Data Engineer in the Retail Operations Data Products team, you’ll work with Data Scientists, Backend and Research Engineers to build data-driven products that help Zalando place the right orders for the right articles. Having successfully launched our Sizing decision support product, we are now taking on the challenge of moving from decision support to decision automation. This opens new opportunities and puts new requirements on our data and machine learning pipelines.

To support our ambitious growth, we are now looking for a Principal Data Scientist (m/f/d) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board

Cortical.io is a young entrepreneurial company focusing on natural language understanding (NLU). We use our patented technology in combination with sophisticated AI approaches to address problems others have failed to solve. Over the last couple of years, we have built an impressive client portfolio of global Fortune 100 companies. At this point, we are looking to expand our team at our headquarters in Vienna. The ideal candidates for this position have some experience in Java product development, machine learning, and/or natural language processing (NLP).

POSITION SUMMARY BCG Gamma is seeking a Machine Learning Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of different machine learning disciplines, e.g. anomaly detection, payment fraud, fraud detection, search ranking, text/sentiment classification, spam detection and others. The position will involve taking these skills and applying them to some of the most exciting and massive data and analytics problems across multiple industries. We are looking for machine learning engineers to join the ML effort for our teams, building ML-based systems, tools, and services that serve as infrastructure for our internal and external clients.

About the role Create and deploy production-ready machine learning models, life-cycle managementEvaluate and assess model quality through metrics and experimentsEnd-to-end responsibility for socio-demographic predictions, audience expansions and interest inferenceWriting production code with Spark and Scala and creating advanced pipelines with LuigiWorking with git on github, various services on AWS, Jira and Confluence with an agile software development cultureAbout you Deep knowledge in Scala, Java or C++ and strong skills in either Python or BashExpertise in using Spark, Hadoop, etc.

Advanon is looking for a Machine Learning Intern for its growing R&D team!If you have the drive to push forward a leading FinTech startup in Switzerland with applied machine learning research and development, joining our team will put you in a prime position to do just that.Advanon offers an online platform that allows small and medium businesses (SMEs) to access needed liquidity by offering them financing solutions. As we are growing and extending our portfolio of products, we’re working on exciting machine learning problems in credit risk prediction and document understanding.

Your tasks: Develop, improve, test and deploy algorithms for parking spot detection with ParkHere sensors Be responsible for high detection rates and a robust system Work on the complete data science pipeline incl. Machine Learning Lead a team of Juniors/Working Students Your profile: You graduated in Mathematics in Data Science, Data Engineering and Analytics, Computer Science or similar You have gained a lot of data science experience in projects including Machine Learning You like to solve problems and directly contribute to the success of ParkHere

We’re looking for a motivated and driven (Senior) Data Scientist (m/f/d) who will help us shape our team, drive the company to the next level, and have the most direct influence on our success. Your Tasks – Paint the world green You will work in a cross-functional, product-focused team revolutionizing forecasting, dynamic pricing and revenue management for large transportation networksYou will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organizationYou will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organizationYour Profile – Ready to hop on board

Your tasks - Paint the world green You are our truffle hunter, who quickly finds a way through complex datasets and recognizes opportunities to grow and to optimizeYou filter growth relevant information from our BI/tracking systems and convert complexity into simplicityYou analyze our data systems and algorithms for customer relationship management and customer behavior modeling; you solve our complex business challenges with creative insightsYou use statistical models to answer real-life questions like; “What are the effects of price changes and how to adjust marketing spend (e.

At trivago we aim to enable our large user base to find the ideal accommodation for their travels and help advertisers (online travel agencies, hotel chains and hoteliers) to improve their performance on our website. We’re looking for an analytical and enthusiastic data scientist to dig into petabytes of data to further develop the Marketplace of our global hotel search platform! As a data scientist in the Ranking Team you can have a direct impact on the mechanisms that govern the interaction of our 6 million daily users and our 400+ booking sites in real time.