Data Scientist Reinforcement Learning |â¯Offer intelligence (m/f/d)
Data Scientist Reinforcement Learning |â¯Offer intelligence (m/f/d)
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Job Description
We sit at the intersection of pricing science advanced statistics and scalable software. Your mission is to craft and productionise stateoftheart statistical and probabilistic modelsthink hierarchical Bayesian regression stochastic variational inference (SVI) and smart bandit explorationso our prices adapt in real time and our customers always datadriven offers. Youll 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 regressionbased pricing models (linear GLM mixedeffects Gaussian Process etc.) with a strong Bayesian lens. Implement scalable inference (SVI MCMC importance sampling) to handle sparse highvolume or streaming data.
You will extend multiarmedbandit 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 overfitting or revenue anomalies in near real time.
You will design A/B and multivariate tests plus quasiexperimental or causalimpact methods when randomization isnt 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 handson workshops.
YOUR SKILLS MATTER
You have deep statistical chops 5years applying regression hierarchical models or statespace 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 blackbox 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 handson with AWS GCP or Azure; containerisation (Docker/K8s) and workflow schedulers.
You have datadriven 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
Additional Information :
About us:
We are a globally leading mobility service provider with a revenue of 4.00 billion and around 9000 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 350000 vehicles the services of 4000 cooperation partners and around 5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2000 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!
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
