- Lead and mentor team members in developing advanced models that generate insightful predictions and enable the steering of daytoday business decisions
- Partner with internal stakeholders to identify the best ways to integrate our Data Science products in our quick grocery and workforce apps
- Ensure and drive excellence within the Data Science team by ensuring projects follow best practices and proper monitoring of impact
- Analyze data to evaluate the impact of our models and to identify opportunities for improvement
Qualifications :
- Bachelors degree or higher in Data Science Computer Science Mathematics or a related field
- At least 5 years of handson experience in applying diverse Data Science methodologies to solve realworld business problems in production environments using Python
- Proficient in writing and reading SQL (experience with Google BigQuery is a plus)
- Strong verbal and written communication skills in English
Bonus:
- Expertise in at least two of the following domains: lastmile delivery logistics optimization time series analysis
- Experience with tools and technologies such as Kubernetes Airflow and cloud infrastructure (e.g. GCP)
- Familiarity with ML platforms like MLflow or Vertex AI
- Experience deploying running and monitoring realtime machine learning models
Additional Information :
- 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 NAVIT 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 elearning 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 dogfriendly 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.
Remote Work :
No
Employment Type :
Fulltime