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 ROLE AT SIXT

• 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.

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

WHAT WE OFFER

• Work-life balance Enjoy 30 days of vacation and up to 50% remote work, including up to 30 days per year in European countries (EU, CH & UK), as well as flexible working hours
• Office Perks Stay active and healthy with our modern SIXT Gym, and various recreational activities, including a gaming area and the SIXT choir. Plus, enjoy our premium employee restaurant, offering more than just the standard canteen
• Support for Community Engagement Take a day each year to volunteer with the ""Drying Little Tears"" children's aid foundation, an initiative of Regine Sixt
• Great Employee Benefits Benefit from discounts on SIXT rent, share, ride, and SIXT+ services, car leasing offers, and special deals with partners on travel, tech, clothing, and more
• Mobility allowance We support you with a mobility allowance of 20€ per month
• Enhance your future Support with your retirement planning and capital-forming benefits

Additional Information

About the department:
Engineers take note: cutting edge technology is waiting for you! We don't buy, we primarily do it all ourselves: all core systems, whether in the area of car sharing, car rental, ride hailing and much more, are developed and operated by SIXT itself. Our technical scope ranges from cloud and on-site operations through agile software development. We rely on state-of-the-art frameworks and architectures and strive for a long-term technical approach. Exciting? Then apply now!

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!