Senior Data Scientist (Economist) - Supply
backmarket · Paris
Description du poste
About the role
Back Market is a global marketplace for refurbished devices. As its marketplace economics expert, you will use advanced analytics and causal inference to answer strategic questions about growth, competition, supply incentives and inventory's effect on customer experience. Your insights directly influence decisions across the Supply and Pricing teams.
Key responsibilities
- Build causal inference models to understand the drivers of supply and pricing, and assess the impact of marketplace policies and pricing initiatives.
- Design and analyse experiments and quasi-experiments, including holdout groups, treatment effects and cannibalisation analysis.
- Turn analytical findings into actionable recommendations, decision tools and guardrails for Revenue, Pricing and Supply teams.
- Lead cross-functional projects with Supply, Pricing, Business and Engineering teams.
- Establish best practices for causal inference, experimentation and impact measurement, and mentor other analysts.
- Communicate complex analytical work clearly to senior stakeholders and influence commercial decisions.
Required profile
- 4-8+ years applying causal inference and statistical methods to business problems.
- Experience driving strategic decisions through cross-functional collaboration.
- Bonus points: digital marketplace, e-commerce or two-sided platform background; track record building analytics capabilities in growing organisations; experience with dbt and Tableau.
Required skills
- Advanced SQL and Python (and/or R)
- Causal inference and statistical methods
- Experiment design and analysis
What we offer
- Hybrid work: 2 remote days a week, 1 remote work week per quarter, plus 3 flex days.
- Employee Resource Groups, mentorship programmes, accessibility policies and cultural competency training.
- A mission-driven, fast-paced environment with hands-on career development.
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backmarket
Paris