Senior Data Scientist Reinforcement Learning – Offer intelligence (m/f/d)

We work at the intersection of pricing science, advanced statistics, and scalable software. You’ll build and bring in production state-of-the-art probabilistic models - like hierarchical Bayesian regression, SVI, or bandit algorithms - that power millions of pricing decisions at SIXT every day. From shaping the analytical question to deploying live models, you’ll own the full lifecycle, supported by an innovation-friendly culture and great team. If you're excited by real-world impact, rigorous methods, and turning cutting-edge ideas into production - even if you don’t tick every box - we’d love to hear from you!

YOUR ROLE AT SIXT

• You architect and prototype advanced regression models (linear, GLM, mixed-effects, Gaussian Process) with a principled Bayesian approach, guiding pricing strategy at scale
• You apply techniques like SVI, MCMC, and importance sampling to enable robust decision-making under uncertainty, even with sparse, high-volume, or streaming data
• You build and maintain reproducible pipelines for feature engineering, label generation, and automated data validation using tools like Airflow or Dagster, ensuring high code quality and reliability
• You deploy models via FastAPI, Docker, or Kubeflow, and establish real-time monitoring with Bayesian control charts and performance dashboards to catch drift and anomalies early
• You design sophisticated A/B and multivariate tests, apply quasi-experimental and causal impact methods, and quantify the value of information to balance exploration and exploitation
• You collaborate with product and revenue leaders to translate ambiguous ideas into testable hypotheses, while mentoring peers and elevating Bayesian practice through internal publications and workshops

YOUR SKILLS MATTER

• Expertise You bring deep statistical chops, with 5+ years of applying regression, hierarchical models, or state-space methods in production
• Computing proficiency You have a well-stocked Bayesian toolbelt - fluent in PyMC, Stan, NumPyro, TFP, or similar - and are comfortable writing custom likelihoods and priors.
• Modeling You have proven experience scaling inference using SVI, black-box VI, or advanced MCMC techniques on large datasets
• Engineering practices You write solid, production-grade Python code and are familiar with type hints, testing frameworks, and CI/CD workflows
• Infrastructure You are hands-on with cloud platforms like AWS, GCP, or Azure, and have experience with containerization (Docker/K8s) and workflow orchestration
• Stakeholder management You communicate uncertainty, lift, and risk in plain English for executives, while engaging deeply with scientists and engineers

WHAT WE OFFER

• Generous Time Off Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year
• Work-Life Balance & Flexibility Benefit from a hybrid working model, flexible working hours, and no dress code
• Great Employee Benefits Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts
• Training & Development Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and development
• Health & Well-being Private health insurance to support your well-being
• Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience

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!