Data Scientist

Who you are

• Background: Master’s degree in a quantitative field (Engineering, Mathematics, Statistics, Physics, or equivalent)
• Experience: 3+ years of hands-on data science experience solving real-world business challenges
• Engineering Rigor: Expert Python skills (writing production-level code); experience with live production ML systems is a major plus
• Data Tech Stack: Strong SQL proficiency (Databricks or equivalent) and experience with BI tools (Tableau or equivalent)
• Analytical Balance: A passion for statistics, effortlessly toggling between quick back-of-the-envelope estimates and deep analytical deep-dives
• Communication: Fluency in English with a proven talent for explaining complex data insights to non-technical stakeholders

What the job involves

• At Free2Move, data science and analytics sit at the core of our products and business decision-making
• We are looking for a Data Scientist to join our Marketplace team and optimize the dynamic balance between supply and demand, ensuring our cars are perfectly positioned and priced for every journey
• High Impact: Work at the center of product strategy, influencing critical business decisions
• Real-World Deployment: Put algorithms into production that directly govern fleet operations
• Core Optimization: Solve complex marketplace dynamics across diverse international markets
• 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

The application process

• We usually respond within a week
• Step 1 (30 mins): Intro call with Amélie, Head of Talent Acquisition, to review your path and expectations
• Step 2: Technical Test evaluated with 2 Data & AI team members
• Step 3 (45 mins): Final Fit interview with Paolo (Director of Data & AI)

Benefits

• Annual Bonus Target
• Health Insurance
• Retirement Plan
• Paid time off
• An environment that promotes career development
• Equal Opportunity employer committed to diversity and inclusivity in the workplace