- Develop models that generate insightful predictions and allow to steer day-to-day business decisions;
- Work with internal stakeholders to identify the best ways to integrate our Data Science products in our quick grocery and workforce apps;
- Collaborate within a cross-functional team to build relevant Data Science products that reliably predict/help the business and Flink’s customers with their needs;
- Analyse experiments and AB tests to evaluate the effectiveness of those Data Science products.
- You hold a bachelor's degree or higher in data science, computer science, mathematics, or related field;
- You have practical experience in using different data science methodologies to solve complex business problems and you have experience doing this with Python;
- You are fluent in reading and writing SQL (experience in Google BigQuery dialect is a plus);
- You have very good (spoken & written) communication skills in English (our main company language).
Additional Qualifications:
- Experience developing recommender or forecasting systems is a plus;
- Experience with Kubernetes, Airflow, and cloud infrastructure (e.g. GCP) is a plus;
- Experience with ML platforms (e.g. MLflow / VertexAI) is a plus.
- A €1000 annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals
- 26 days of vacation, +1 day every year up to a maximum of 30 days
- A mobility budget of 30 EUR per month with RYDES, which you can use individually for Uber, BVG and many other providers
- A cool discount on your Urban Sports Club membership
- Attractive company pension options
- Unlimited access to an e-learning and development platform, MyAcademy, including online German courses
- Online discounts with Corporate Benefits and Future Bens
- A cool discount off your personal Flink orders; be the first to test out new products!
- A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance
We pride ourselves in being an inclusive and equal opportunities employer with a diverse and multicultural team. It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.
