Purpose & Overall Relevance for the Organization- We are passionate about data and algorithms lifting insights and actions hidden in large data sets. We work on a variety of use cases, from forecasting to product recommendations, from pricing to allocation. We help our digital customers, managers, business analysts to benefit from their data and drive their strategic and decision making. We are looking for data science talents who are as passionate, curious, and dedicated as we are and who want to contribute to the sustained growth of our eCom business. What you’ll do - Guide a team of highly skilled Data Scientists from diverse backgrounds like statistics, mathematics, economics and computer science in developing and factorizing complex data science solutions. - Support the analysis of stakeholder objectives, assess the problems to be solved and what internal or external data sources to use or acquire. - Design, code, verify, test, document, amend and refactor complex programs/scripts and engage in mutual code reviews. - Seek to fully address client needs, enhancing the capabilities and effectiveness of client personnel, by ensuring our data science solutions are properly understood and appropriately exploited. - Support the review of the benefits and value of our data science solutions and recommend improvements. - Actively contribute to our Communities of Practice and knowledge sharing events and thereby shape our analytics policies, standards and guidelines. - Who you are - You are an expert in Machine Learning (in particular tree-based models, NLP, image processing) who is strong in exploratory data analysis and feature engineering. - You should have a solid understanding of statistics/ statistical inference, linear algebra, optimization and time-series modeling. - Python and its state-of-the-art analytical libraries (e.g., pandas, scikit-learn, PySpark, plotly) are your second nature. Ideally, you are familiar with Deep Learning architectures (e.g., CNNs or RNNs ) and have hands-on experience with using tools like TensorFlow or PyTorch. Solid knowledge of R (including tidyverse) is an advantage. - You are set up for success if you effortlessly work in a Jupyterlab/ Notebook environment and with IDEs like PyCharm or Visual Studio Code. In addition, you know how to use Bitbucket/ GIT for version control and collaborative coding and you have already worked with platforms like Databricks/ Sagemaker. - You have a solid understanding of relational databases and the ability to efficiently query large databases (e.g., via Spark, SQL, Hue). - You know what it takes to factorize data science solutions as you stick to basic software engineering principles (e.g., integration/ unit testing) and are familiar with the concept of continuous integration and the use of Jenkins. - You have a proven track record in at least one of our focus areas (i.e., recommender and ranking systems, website personalization, search engine optimization, product ranging, sizing, tactical pricing, demand forecasting, image processing, social media listening, customer lifetime value). - You know the principles of agile development and have already worked as a member of an agile development team. - You hold a Master's degree in Computer Science/Statistics/Econometrics, or related field with a strong quantitative focus (Mathematics/Physics), PhD welcome but not required - You have at least 5 years experience as Data Scientist outside academia, ideally in online retailing or sporting goods industry with expertise in developing data-driven products end-2-end. Experience in leading and mentoring team members would be a plus. - You have excellent professional communication skills (English, written and oral). - You interact confidently with developers and stakeholders alike and can present your work to technical and non-technical audiences. AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR. COURAGE: Speak up when you see an opportunity; step up when you see a need.. OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through. INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things. TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset. INTEGRITY: Play by the rules. Hold yourself and others accountable to our company’s standards. RESPECT: Value all players. Display empathy, be inclusive and show dignity to all. **ADIDAS CELEBRATES DIVERSITY, SUPPORTS INCLUSIVENESS AND ENCOURAGES INDIVIDUAL EXPRESSION IN OUR WORKPLACE. WE DO NOT TOLERATE THE HARASSMENT OR DISCRIMINATION TOWARD ANY OF OUR APPLICANTS OR EMPLOYEES. WE ARE AN EQUAL OPPORTUNITY EMPLOYER.** *** - JO