Data Scientist – Dynamic Pricing & Fleet Optimization

About the role

Free2move is looking for a Data Scientist to join its Marketplace team in Milan. You will work at the core of product strategy, developing and deploying machine‑learning models that balance supply and demand, optimise fleet positioning and set dynamic pricing across multiple international markets.

Key responsibilities

• Enrich and maintain machine‑learning models for dynamic pricing across all markets.
• Improve fleet repositioning algorithms to maximise rental volume.
• Industrialise end‑to‑end MLOps pipelines from research to production monitoring.
• Design scalable data pipelines that support A/B testing and measure algorithm impact.
• Define KPIs and build real‑time dashboards for marketplace monitoring.

Required profile

• Master’s degree in a quantitative discipline (Engineering, Mathematics, Statistics, Physics or equivalent).
• 3+ years of hands‑on data‑science experience solving business problems.
• Strong Python programming skills with production‑grade code.
• Experience with live production ML systems is a strong plus.
• Proficiency in SQL (Databricks or similar) and familiarity with BI tools such as Tableau.
• Excellent analytical abilities and fluency in English.

Required skills

• Python
• SQL
• Databricks (or equivalent data‑lake platform)
• Tableau (or equivalent BI tool)
• Machine Learning
• MLOps
• Data pipelines
• A/B testing