Decision Scientist (m/f/d) at Flink

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Experimental Design, Statistical Analysis, Econometrics, Causal Inference, Hypothesis Testing, Modeling, SQL, Python, R, Data Analysis, Business Acumen

Industry

Software Development

Description

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. About the Last Mile Operations Team 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 Job Description As a Decision Scientist, you will be the expert on cause and effect within our logistics network. Your primary responsibility will be to answer the most critical strategic questions facing our business: "What should we do, and why?" 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., delivery speed) and operational efficiency (e.g., cost per order), delivering clear ROI-based recommendations. Employ Advanced Causal Inference: When clean experiments aren't feasible, you will leverage a sophisticated toolkit of econometric and causal inference techniques to measure the impact of product launches and operational changes on our marketplace. 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. Qualifications We are looking for a first-principles thinker with a deep passion for understanding complex systems and driving decisions with data. Education: 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. Core Competencies: A deep, practical knowledge of experimental design (A/B testing, Switchback testing) and statistical analysis. A strong grasp of econometrics and causal inference methods (e.g., Difference-in-Differences, Regression Discontinuity, Instrumental Variables). A robust statistical foundation, particularly in hypothesis testing and modeling. Technical Skills: 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., CausalML, DoWhy). Business Acumen: The ability to translate ambiguous business problems into a logical, analytical framework and to communicate complex scientific concepts to non-technical stakeholders. Additional Information A unique opportunity to have a massive impact on the core technical systems of a leading quick commerce company. A highly intellectual and collaborative environment where you can apply cutting-edge methods to solve real-world problems. 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 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; 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.

Responsibilities

As a Decision Scientist, you will establish causality within the logistics network and answer critical strategic questions. You will design and analyze experiments to measure the impact of changes on dispatching algorithms and operational efficiency.