Data Scientist - OR (Revenue Management & Fleet Optimization) (m/f/d)

Join our team of data science and machine learning experts to shape next-generation fleet strategies. We answer one of the most impactful questions in our business: how many cars of each type should be in each location, at any point in time? Our long-term fleet planning decisions directly drive revenue management, purchasing, and pricing across the business — and ensure we have the right cars in the right places to deliver the best experience for every customer.

We're looking for a Senior Data Scientist – Operations Research with a strong background in mathematical optimization and machine learning — someone with both a solid theoretical foundation and a proven track record of applying these methods in practice. Ideally, you also bring revenue management expertise, for example hands-on experience in dynamic pricing or stock planning optimization.

• You design, develop, and deploy advanced fleet planning systems that support all parts of the business, from purchasing decisions to pricing to financial projections
• You formulate and solve complex optimization problems, including linear, nonlinear, dynamic, and stochastic, to maximize margin and support key decision making processes
• Your planning decisions affect stakeholders across the business, and explaining the why behind the results is just as important as the results themselves
• You build models that capture the real world complexity of renting cars, from how pricing decisions are made to how cars are allocated to customers
• You stay current on the latest research in revenue management, operations research, and machine learning, and bring new ideas into the team
• You provide mentorship and guidance to junior team members