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 2,500 products with 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 80 cities in Germany, the Netherlands and France. 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 Data Scientist (m/f/d), you will get the chance to work in a cross-functional team and directly impact the business by building state-of-the-art ML models. Some of the business problems we solve in our team are Flink’s Product Recommenders which help our customers find the products most relevant to them, or our Last Mile Data Products which match demand and supply to help us steer our operations more efficiently.

You can expect to work on business-critical projects in close collaboration with various Flink stakeholders and 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

• 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.

Qualifications

• 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.

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 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.