Senior Data Scientist Reinforcement Learning – Offer Intelligence

Direct message the job poster from WorksterInternational Talent Acquisition I Team Leader I Luxury Travel Specialist I Mini Travel Guides creatorWorkster is partnering with a global leader in the mobility industry to recruit a Senior Data Scientist – Reinforcement Learning (m/f/d) for their growing Data Science & Engineering team in Munich. This is a high-impact opportunity to shape the future of intelligent pricing systems through advanced probabilistic modeling and state-of-the-art machine learning techniques.You’ll be joining a company that values rigorous science, scalability, and innovation—where your models will directly influence millions of real-time business decisions across global markets.Your RoleArchitect and prototype Bayesian regression models (GLM, mixed-effects, Gaussian Process) to support dynamic pricing strategies.Implement techniques like SVI, MCMC, and importance sampling to make robust decisions under uncertainty.Design and maintain feature engineering pipelines and automated data validation using tools such as Airflow or Dagster.Deploy production models via FastAPI, Docker, and Kubernetes, ensuring performance monitoring and anomaly detection are in place.Design and evaluate A/B and multivariate tests using causal inference and quasi-experimental methods.Collaborate cross-functionally with revenue and product teams to turn abstract ideas into data-driven hypotheses.Mentor team members and help elevate internal Bayesian and modeling standards through workshops and publications.Your Qualifications5+ years of experience in applied statistical modeling, with a strong focus on Bayesian methods.Proficiency in probabilistic programming using PyMC, Stan, NumPyro, TFP, or similar tools.Hands-on experience with SVI, black-box variational inference, and large-scale MCMC techniques.Strong Python programming skills with best practices in testing, type hints, and CI/CD.Familiarity with cloud infrastructure (AWS, GCP, or Azure), Docker/Kubernetes, and workflow orchestration tools.Excellent communication skills—able to explain statistical concepts and uncertainty to both technical and executive audiences.The OfferA hybrid working model with flexibility and 30 days of paid vacation.Opportunities to engage in company-wide learning initiatives and volunteer days.Access to on-site fitness and leisure facilities in a modern workspace.Mobility support, pension contributions, and generous employee discounts on mobility services.A supportive and collaborative team culture with cutting-edge technologies and complex real-world challenges.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionIndustriesHospitality and Commercial and Service Industry Machinery ManufacturingReferrals increase your chances of interviewing at Workster by 2xSign in to set job alerts for “Data Scientist” roles.Data Scientist (m/f/d) Digital Solutions for InvestmentData Scientist – Automotive & Cloud Analytics (all gender) 504192Artificial Intelligence/Machine Learning EngineerMachine Learning Software Engineer – Optimization & LLM Development (m/f/x)Data Scientist and Process Mining ArchitectWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr