Remote Data Scientist - Marketplace & ML Ops

Free2move; Paris; Hybride; EUR 45 000 - 50 000; Plein temps

Avantages offerts par ce poste

Remote work

Résumé du poste

Free2move is seeking a Data Scientist to join our Marketplace team and optimize the dynamic balance between supply and demand, ensuring our cars are well positioned and priced for every journey. You will work on dynamic pricing, fleet optimization, and end-to-end ML operations in a globally distributed environment, collaborating with international teams to deliver impactful analytics.

A Master's in a quantitative field and 3+ years of hands-on data science experience are required, with strong

Qualifications

• Master's degree in a quantitative field (Engineering, Mathematics, Statistics, Physics, or equivalent).
• 3+ years of hands-on data science experience solving real-world business challenges.
• Expert Python skills (production-level code); experience with live production ML systems is a major plus.
• Strong SQL proficiency (Databricks or equivalent) and experience with BI tools (Tableau or equivalent).
• Fluent in English with the ability to explain complex data insights to non-technical stakeholders.

Responsabilités

• Dynamic Pricing: Enrich machine learning models to dynamically adjust rates across all markets.
• Fleet Optimization: Improve fleet repositioning algorithms to maximize overall rental volume.
• End-to-End MLOps: Industrialize ML models from initial R&D through to production monitoring.
• Experimentation Infrastructure: Design scalable data pipelines to power A/B testing and measure algorithm impact.
• Marketplace Monitoring: Define precise KPIs and build reliable dashboards for real-time visibility.

Connaissances

Python

SQL

English

Formation

Master's degree in quantitative field

Outils

Databricks

Tableau

Description du poste

Free2move is seeking a Data Scientist to join our Marketplace team and optimize the dynamic balance between supply and demand, ensuring our cars are well positioned and priced for every journey. You will work on dynamic pricing, fleet optimization, and end-to-end ML operations in a globally distributed environment, collaborating with international teams to deliver impactful analytics.

A Master's in a quantitative field and 3+ years of hands-on data science experience are required, with strong