Senior Data Scientist - Operations Research (Revenue Management & Price Optimization) (m/f/d)

About the role

We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepre

Benefits

Additional Information

About SIXT & Our Data Science Team Join our team of data science and machine learning experts to shape next-generation pricing strategies. We combine cutting-edge techniques-like price elasticity modeling, bid price strategies, and advanced ML-to optimize pricing decisions for millions of customers. Our work directly drives efficient revenue management processes and enhances the user experience. We're looking for a Senior Data Scientist - Operations Research with a strong background in mathematical optimization, machine learning and related fields with both a solid theoretical foundation as well as a proven track record successfully applying these methods in a practical setting. The ideal candidate will also have revenue management expertise, for example hands-on experience in dynamic pricing and bid price optimization, and have worked in (or closely with) the airline or car rental industry. YOUR ROLE AT SIXT Revenue Management & Price Optimization Design, develop, and deploy advanced revenue management systems focusing on dynamic pricing and bid price optimization strategies. Operations Research Modeling Formulate and solve complex optimization problems (linear, nonlinear, dynamic, stochastic) to maximize revenue and support key decision-making processes. Demand Forecasting & Customer Willingness-to-Pay Create and refine forecasting models using time series and machine learning methods to capture customer demand and willingness-to-pay. Algorithm & Tool Development Build and maintain robust algorithms that integrate seamlessly with production systems, ensuring efficiency and scalability. Cross-Functional Collaboration Work closely with product managers, data engineers, and software developers to deploy end-to-end solutions and continuously improve analytical models. Thought Leadership Stay current on the latest research in revenue management, operations research, and machine learning. Provide mentorship and guidance to junior team members. YOUR SKILLS MATTER Industry Experience 5+ years in data science and operations research roles, ideally in car rental, airlines, or similar travel/hospitality sectors. Optimization & Solvers Strong background in mathematical optimization (linear, nonlinear, integer programming), solvers, and algorithm design (dynamic/stochastic programming). Machine Learning & Forecasting Proficient in demand forecasting, time series modeling, and modern ML techniques (especially regression). Programming Skills Expertise in Python for data analysis, modeling, and production deployment. Familiarity with version control systems (e.g., Git). Analytical Mindset Ability to translate complex business problems into actionable analytical tasks and clearly communicate findings to various audiences. Plus Revenue Management Expertise - implementing or optimizing revenue management systems and pricing strategies. Pricing & Bid Price Optimization - Practical experience designing or implementing bid price models in large-scale revenue management systems. Master's degree (or higher) in Operations Research, Applied Mathematics, Statistics, or a related quantitative field.

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