We aim for sustainability by making deliveries on electric bikes and utilizing recyclable packaging.
Flink is backed by the world’s most renowned tech investors, including Prosus, Mubadala, and Bond, and strategic investors like Doordash and REWE. The Last Mile Operations team is the strategic brain of Flink's entire delivery operation. We are the central business owner of the dispatching system—the algorithmic engine that manages our rider fleet, matches orders, and optimizes routes in real-time. Our goal is to make the most intelligent, data-driven decisions to optimize the entire delivery ecosystem, and the Decision Scientist is at the very core of this mission
As a Decision Scientist, you will be the expert on cause and effect within our logistics network. Go Beyond Correlation: You will establish causality in a complex, real-time environment, providing the business with a clear and defensible understanding of how our actions impact outcomes.
Drive Experimentation: You will design, launch, and analyze complex experiments (A/B/n tests) to measure the precise impact of changes to our dispatching algorithms, rider incentives, and customer promises.
Quantify Trade-offs: You will build economic and simulation models to quantify the intricate trade-offs between customer experience (e.g., Influence High-Level Strategy: You will partner directly with key stakeholders in Product, Engineering, Data (Science) and Operations to translate your findings into high-impact business strategy, fundamentally shaping the future of our dispatching roadmap.
We are looking for a first-principles thinker with a deep passion for understanding complex systems and driving decisions with data.
A Master's degree in a quantitative field such as Economics, Statistics, Computer Science, Operations Research, or a similar discipline.
Experience: 2+ years of professional experience in a Decision Science, Applied Science, Data Science, or quantitative strategy role, with a proven track record of using data to influence critical business decisions.
Expert-level SQL.
High proficiency in Python or R for data analysis and modeling, with experience using libraries such as Pandas, Statsmodels, SciPy, or causal inference packages (e.g., A mobility budget of 35 EUR per month for Deutschland Ticket subsidy
~ 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; A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance