Join our team of data science and machine learning experts to shape the next generation of intelligent pricing strategies at SIXT! Our mission is to apply cutting-edge techniques - including reinforcement learning, multi-armed bandits, and Bayesian inference - to optimize dynamic pricing decisions. We build scalable models and systems that directly impact millions of customers, enabling more efficient revenue management processes and a superior user experience.

YOUR SKILLS MATTER

• Experience You have some background in machine learning or data science - prior exposure to reinforcement learning, multi-armed bandits, Bayesian methods, or dynamic pricing is a plus, but not required
• Technical skills You are proficient in Python and familiarity with modern ML frameworks (e.g. TensorFlow, PyTorch); experience with cloud platforms (AWS, GCP, or Azure) is beneficial
• Production mindset You are comfortable deploying and maintaining ML models in a production environment, ensuring reliability, scalability and adaptability
• Growth-oriented You are passionate about learning new methods and solving real-world problems
• Communication & teamwork You are fluent in English and enthusiastic about working within a diverse, multinational team

ABOUT US:

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 entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now

• You design, implement, and maintain production-grade machine learning systems, with a strong focus on bandit algorithms and reinforcement learning methods for dynamic pricing
• You work closely with teams in data science, engineering, product management, and business operations to bring experimental models into a robust production environment
• You continuously track model performance, visualize key metrics, and conduct deep-dive analyses to understand changes in system behavior and their impact on business outcomes
• You collaborate with business stakeholders to identify inefficiencies in current processes and propose data-driven, ML-powered solutions to address them
• You communicate results, methodologies, and technical insights to audiences of varying technical backgrounds, ensuring that both business and technical teams understand the value of your work