Job Description
1. Lead and mentor team members in developing advanced models that generate insightful predictions and enable the steering of day-to-day business decisions
2. Partner with internal stakeholders to identify the best ways to integrate our Data Science products in our quick grocery and workforce apps
3. Ensure and drive excellence within the Data Science team by ensuring projects follow best practices and proper monitoring of impact
4. Analyze data to evaluate the impact of our models and to identify opportunities for improvement
Qualifications
5. Bachelor's degree or higher in Data Science, Computer Science, Mathematics, or a related field
6. At least 5 years of hands-on experience in applying diverse Data Science methodologies to solve real-world business problems in production environments using Python
7. Proficient in writing and reading SQL (experience with Google BigQuery is a plus)
8. Strong verbal and written communication skills in English
Bonus:
9. Expertise in at least two of the following domains: last-mile delivery, logistics, optimization, time series analysis
10. Experience with tools and technologies such as Kubernetes, Airflow, and cloud infrastructure (, GCP)
11. Familiarity with ML platforms like MLflow or Vertex AI
12. Experience deploying, running, and monitoring real-time machine learning models
Additional Information
13. 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
14. 26 days of vacation, +1 day every year up to a maximum of 30 days
15. A mobility budget of 30 EUR per month with NAVIT, which you can use individually for Uber, BVG and many other providers
16. A cool discount on your Urban Sports Club membership
17. Attractive company pension options
18. Unlimited access to an e-learning and development platform, MyAcademy, including online German courses
19. Online discounts with Corporate Benefits and Future Bens
20. A cool discount off your personal Flink orders; be the first to test out new products!
21. A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance
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.