Overview Senior Data Scientist – Causal Inference & Measurement (m/f/d) at SIXT. Join our team of data science and causal inference experts to shape next-generation pricing strategies and measure the causal impact of our initiatives in Pullach near Munich. We employ state-of-the-art causal inference methods to understand and optimize pricing decisions for millions of customers. Our work drives revenue management processes and ensures that our strategies are grounded in robust, scientifically-valid findings. Your role at SIXT Revenue Management & Causal Measurement: design, develop, and implement measurement frameworks focusing on the causal impact of price optimization strategies. Causal Inference Modeling: apply advanced causal inference techniques to guide business decisions and strategy development in revenue management. Experiment Design & Analysis: develop and refine experimental designs using methods such as Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), synthetic control methods, A/B tests, and Double Machine Learning to measure effectiveness and inform policy decisions. Algorithm & Tool Development: build and maintain robust algorithms that integrate with production systems, ensuring accuracy and scalability in causal estimation. Cross-Functional Collaboration: work with product managers, data engineers, and software developers to deploy end-to-end solutions that leverage causal insights to drive business decisions. Thought Leadership: stay current on the latest research in causal inference and measurement, and provide mentorship to junior team members. Your skills matter Industry Experience: 5+ years in data science with a focus on causal inference; experience with sparse and volatile data; ideally within pricing and/or marketing. Causal Inference Expertise: proven track record implementing or optimizing frameworks to measure and validate the impact of revenue management systems and pricing strategies using causal inference techniques. Technical and Analytical Skills: strong background in statistical analysis and causal inference methods, including but not limited to: Double Machine Learning (Double ML): familiarity with Double/Debiased ML methods to estimate causal effects. Causal Graphs and Structural Causal Models: proficiency with Directed Acyclic Graphs (DAGs) for causal identification. Propensity Score Matching and Weighting: advanced application of propensity score techniques to estimate treatment effects. Instrumental Variables (IV) and Synthetic Control Methods: experience with IV and synthetic controls for causal impact estimation in observational settings. DiD and RDD: application of Difference-in-Differences and Regression Discontinuity Design in measuring causal effects over time. What we offer Extra benefits: Discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion, and more. Mobility boost: Monthly mobility allowance of €20. Future security: Retirement plan contributions and capital-forming benefits. Feel-good atmosphere: Access to a modern gym, leisure activities, gaming area, choir, and employee restaurant. Flexibility: 30 days of vacation and a hybrid working model with flexible hours. Giving back: One volunteer day per year for a charitable organization supporting children. About us We are a globally leading mobility service provider with revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent, SIXT share, SIXT ride, and SIXT+ to provide customers access to our fleet of vehicles and services from thousands of partners worldwide. We operate in more than 110 countries at 2,000 rental stations, prioritizing top-tier customer experience and long-term stability. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Travel Arrangements Get notified about new Senior Data Scientist jobs in Munich, Bavaria, Germany. #J-18808-Ljbffr