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

We sit at the intersection of pricing science, advanced statistics, and scalable software. Your mission is to craft and productionise state‑of‑the‑art statistical and probabilistic models—think hierarchical Bayesian regression, stochastic variational inference (SVI), and smart bandit exploration—so our prices adapt in real time and our customers always data‑driven offers. You’ll own the full stack: from shaping the analytical question to serving a model that makes millions of decisions per day.

YOUR ROLE AT SIXT

• You will design and prototype regression‑based pricing models (linear, GLM, mixed‑effects, Gaussian Process, etc.) with a strong Bayesian lens. Implement scalable inference (SVI, MCMC, importance sampling) to handle sparse, high‑volume, or streaming data.

• You will extend multi‑armed‑bandit frameworks with richer priors, contextual signals, and uncertainty quantification.

• You will build reproducible data pipelines for feature engineering, label creation, and automated data quality checks e.g (Airflow/Dagster); Good SQL and clean code principles.

• You will work with package models as modular services (FastAPI, Docker, Kubeflow, or similar).

• You will set up performance dashboards and Bayesian control charts to detect drift, over‑fitting, or revenue anomalies in near real time.

• You will design A/B and multivariate tests, plus quasi‑experimental or causal‑impact methods when randomization isn’t possible. Quantify expected value of information to decide when to explore versus exploit.

• You will pair with product managers and revenue strategists to translate fuzzy ideas into testable hypotheses. Coach peers on modern Bayesian workflows; publish internal tech notes and run hands‑on workshops.

YOUR SKILLS MATTER

• You have deep statistical chops – 5 + years applying regression, hierarchical models, or state‑space methods in production.

• You have experience with Bayesian toolbelt – fluent with PyMC, Stan, NumPyro, TFP, or equivalent; comfortable writing custom likelihoods and priors.

• You have variational & sampling expertise – proven experience scaling inference with SVI, black‑box VI, or advanced MCMC on large data sets.

• You have solid software engineering skills – Python is home (base knowledge of type hints, testing, CI/CD)

• You have experience with cloud & orchestration – hands‑on with AWS, GCP, or Azure; containerisation (Docker/K8s) and workflow schedulers.

• You have data‑driven storytelling skills – able to frame uncertainty, lift, and risk in plain English for execs while diving deep with scientists & engineers.

• You have growth mindset – you follow the latest in probabilistic ML and love to share what you learn.

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!