Workster is partnering with a global mobility-tech leader to find a talented Data Scientist (Reinforcement Learning) to join their cutting-edge tech hub in Lisbon. In this role, you will design and implement advanced statistical models and real-time decision engines that directly power millions of dynamic pricing decisions per day.

You’ll work at the intersection of pricing strategy, statistical modeling, and scalable machine learning systems—owning the full lifecycle from analytical ideation to production deployment.

Your Role

• Design advanced statistical models: Prototype regression-based pricing models (linear, GLM, Gaussian Process, mixed-effects) using a Bayesian framework
• Apply scalable inference methods: Use SVI, MCMC, and other techniques to process large-scale, high-volume, or streaming datasets
• Extend bandit algorithms: Improve multi-armed bandits with contextual features, richer priors, and uncertainty quantification...