Join a team of data science and causal inference experts to shape next-generation pricing strategies and measure the causal impact of initiatives in Pullach near Munich! Our work not only drives efficient revenue management processes but also ensures that our strategies are grounded in robust, scientifically-valid findings.
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.
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.
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
Double Machine Learning (Double ML): Familiarity with Double/Debiased ML methods that combine machine learning models to estimate causal effects
Benefits
Extra benefits Enjoy 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 We support you with a monthly mobility allowance of €20 per month for even more freedom
Future security We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered
Feel-good atmosphere Stay active with our modern SIXT gym, various leisure activities like the gaming area or the SIXT choir, and enjoy our high-quality employee restaurant
Flexibility Enjoy 30 days of vacation and a hybrid working model with flexible hours
Giving back Take one day each year to volunteer at a charitable organization dedicated to supporting children
Our client is a globally leading mobility service provider with a revenue of €4.