Data Scientist

The adidas Digital Data Science team is looking for talents. 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 – everyone – to benefit from their data and drive their strategic and day-to-day decision making.

Digital is the top rising channel within adidas with a high strategic importance. If you want to make an impact – this is the place for you as many of our projects directly target our #1 store which has millions of visitors every day. This dynamic environment is the ideal playing field to experiment and to pursue your own ideas.

Our team is diverse, inclusive, and friendly and we have a casual working culture. We offer outstanding possibilities for personal development, a unique learning culture and have an active community of data scientists, who are happy to help each other. Bet, you will love our world-class on-site sports facilities – at adidas every day is game day

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

• Be a key contributor in a team of highly skilled Data Scientists from diverse backgrounds like statistics, mathematics, economics and computer science that develops and factorizes complex data science solutions.
• Apply a range of mathematical, statistical, predictive modelling or machine-learning techniques in consultation with experts if appropriate, and with sensitivity to the limitations of the techniques.
• Design, code, verify, test, document, amend and refactor moderately complex programs/scripts and collaborate in reviews of work with others as appropriate.
• Select, acquire and integrate data for analysis.
• Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continue to iterate with additional data.
• Investigate operational needs and problems, and opportunities, contribute to the recommendation of improvements in automated and non-automated components of new or changed processes and organization.
• Actively contribute to our Communities of Practice and knowledge sharing events.

Who you are

• You have solid skills in Machine Learning (in particular tree-based models, NLP, image processing), exploratory data analysis and feature engineering.
• You should have a solid understanding of statistics/ statistical inference. Knowledge of linear algebra, optimization and time-series modeling would be a plus.
• You have a good command of Python and its state-of-the-art analytical libraries (e.g., pandas, scikit-learn, PySpark, plotly). You know the basics of Deep Learning architectures (e.g., CNNs or RNNs) and you are happy to experiment with tools like TensorFlow or PyTorch. Basic 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. Familiarity with Databricks/ Sagemaker would be a plus.
• You have a solid understanding of relational databases and the ability to efficiently query large databases (e.g., via Spark, SQL, Hue).
• You are familiar with basic software engineering principles (e.g., integration/ unit testing) and the concept of continuous integration. Experience in the use of Jenkins would be a plus.
• Ideally, you have already experience in 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 basic principles of agile development and ideally 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 2 years professional experience (inside or outside academia), ideally with a focus on online retailing or sporting goods industry.
• 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.

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.