Staff Data Scientist Reinforcement Learning – Offer Intelligence (m/f/d)

📋 Description

• Architect and prototype advanced regression models (linear, GLM, mixed-effects, Gaussian Process)
• Design and productionise personalisation and recommendation systems - two-tower retrieval
• Apply techniques like SVI, MCMC, and importance sampling to enable robust decision-making under
• Build and maintain reproducible pipelines for feature engineering, label generation, and automated
• Deploy models via FastAPI, Docker, or Kubeflow, and establish real-time monitoring with Bayesian
• Design sophisticated A/B and multivariate tests, apply quasi-experimental and causal impact

🎯 Requirements

• Deep statistical chops, with 5+ years of applying regression, hierarchical models, or state-space
• Well-stocked Bayesian toolbelt - fluent in PyMC, Stan, NumPyro, TFP, or similar - and comfortable
• Proven experience scaling inference using SVI, black-box VI, or advanced MCMC techniques on large
• Experience with recommender and personalisation stacks - two-tower / embedding retrieval
• Solid, production-grade Python code and familiarity with type hints, testing frameworks, and CI/CD
• Hands-on with cloud platforms like AWS, GCP, or Azure, and experience with containerization

🎁 Benefits

• Global Tech Hub in Lisbon - join a thriving international tech community and work alongside
• Learning & Knowledge Exchange - level up through regular events with internal and external
• Flexible Work Setup - two office days a week, flexible hours, and modern spaces built for both deep
• Time Off & Wellbeing - enjoy 28 vacation days per year, an additional day off on your birthday
• Practical Everyday Benefits - get a yearly Coverflex allowance and a daily meal allowance to make
• SIXT Perks - get exclusive rates on all SIXT services, with special discounts extended to your