Senior Data Scientist (m/f/d)

Company Description

Flink is the leading quick commerce player in Europe. We are on a mission to give people back time: You can order your groceries through our app and we deliver to your doorstep in minutes. We carry 3,000 products with a focus on the leading brands in each category. We aim for sustainability by making deliveries on electric bikes and utilizing recyclable packaging. 

Flink launched in February 2021 and already operates in more than 90 cities in Germany, and the Netherlands. The business generated more than EUR 400m in revenues in 2022 and is operationally profitable. Flink is backed by the world’s most renowned tech investors, including Prosus, Mubadala, and Bond, and strategic investors like Doordash and REWE. We take great pride in being an inclusive employer that offers equal opportunities, and we celebrate the diversity and multiculturalism of our team. We're growing fast and always pushing ourselves to do better - we play for #1.

In your role as a Senior Data Scientist (m/f/d), you will get the chance to work in a cross-functional team and have a direct impact on the business by building state-of-the-art ML models. The problem space we work in relates to improving and optimizing last mile delivery operations. Forecasting demand, estimating delivery times, optimizing routes and delivery areas are examples of problems we work on. 

You can expect to work on business-critical projects in close collaboration with various Flink stakeholders as well as with our Engineering teams. Get ready to be immersed in the fast-paced environment of quick commerce where data is a first-class citizen.

Job Description

• Lead and mentor team members in developing advanced models that generate insightful predictions and enable the steering of day-to-day 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

• Bachelor's degree or higher in Data Science, Computer Science, Mathematics, or a related field
• 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
• 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: last-mile 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 real-time 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 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

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.