Company Description
Job Description
Join our team of data science and causal inference experts to shape next-generation pricing strategies and measure the causal impact of our initiatives! We employ state-of-the-art causal inference methods to understand and optimize pricing decisions for millions of customers. Our work not only drives efficient revenue management processes but also ensures that our strategies are grounded in robust, scientifically-valid findings.

YOUR SKILLS MATTER

• Industry Experience: You have 5+ years experience in data science with a focus on causal inference, experienced with highly sparse and volatile data and ideally within pricing and/or marketing domains
• Causal Inference Expertise: You have 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: You have a 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 that combine machine learning models to estimate causal effects
• Causal Graphs and Structural Causal Models: Proficiency in using 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
• Difference-in-Differences (DiD) and Regression Discontinuity Design (RDD): Application of DiD and RDD in measuring causal effects over time

ABOUT US:

We are a leading global mobility service provider with sales of €3.07 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (cab, driver and chauffeur services), SIXT+ (car subscription) and gives our customers access to our fleet of 222,000 vehicles, the services of 1,500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,098 rental stations. At SIXT, a first-class customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and long-term stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility? Apply now

• Revenue Management & Causal Measurement: You design, develop, and implement sophisticated 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 developments in revenue management.
• Experiment Design & Analysis: Develop and refine experimental designs using techniques 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 seamlessly with production systems, ensuring accuracy and scalability in causal estimation.
• Cross-Functional Collaboration: Work closely 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 and guidance to junior team members.