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Senior Data Scientist

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Onsite

Senior Data Scientist

Back Market

Senior Data Scientist

Skills

SQL QueriesE-commerce WebsitesTableauPythonRData Analysisdbt

22 days ago

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Important information


Location:

Paris, France

Work mode:

Onsite

Published on:

6 October 2026

What they need


Who you are

  • 4-8+ years applying causal inference and statistical methods to business problems
  • Advanced SQL & Python (and/or R)
  • Experience driving strategic decisions through cross-functional collaboration
  • Digital marketplace, e-commerce, or two-sided platform background
  • Track record building analytics capabilities in growing organizations
  • Experience with dbt and Tableau
  • We encourage you to apply even if you don't meet every requirement listed above. We value diverse experiences and are committed to helping you grow in areas where you may have less experience
  • We know that the perfect background for a role doesn’t mean the perfect fit β€” we encourage you to apply for a role even if you think you may not have all the qualifications

What the job involves

  • You'll be our marketplace economics expert, using advanced analytics and causal inference to tackle our biggest strategic questions. Where will growth come from next? How does competition shape our pricing? Which incentives unlock more supply? How do inventory levels affect customer experience?
  • Your insights will directly influence decisions across our Supply and Pricing teams, helping shape how we operate in markets around the world
  • Build causal inference models to understand the drivers of supply, pricing and assess the impact of our marketplace policies and pricing initiatives
  • Design and analyse experiments and quasi-experiments, including holdout groups, treatment effects and cannibalisation analysis
  • Translate 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

The application process

  • Initial TA Screening - Marie or Benjamin , 45 min
  • Technical Interview (Live Challenge) - 60 min
  • Leadership Interview - 45 min
  • Stakeholders Discussion - 45 min
  • Cultural Fit - 45 min

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