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Senior Data Scientist ( Economist) - Supply

Back Market backmarket.com Open
Hybrid Paris Bordeaux Full-time Senior Data Science

At a glance

Senior Data Science role at Back Market. Paris · full-time · no salary stated · we estimate €57,500–€62,500 across France.

Estimated pay

Back Market has not published a salary for this role. The figure below is our estimate, not theirs.

€57,500 – €62,500
What the middle half of senior data science roles in France paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median €57,500. Last updated Sep 26, 2026.
RoleData Science
SenioritySenior
LocationParis
WorkplaceHybrid
EmploymentFull-time
PostedOct 2, 2026
Also hiring inBordeaux
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Use causal models to pinpoint supply and pricing drivers and test the effects of marketplace rules and pricing changes
  • Set up experiments and quasi-experiments, then assess holdouts, treatment effects and cannibalisation
  • Turn analysis into recommendations, decision tools and guardrails for Revenue, Pricing and Supply teams
  • Run projects with Supply, Pricing, Business and Engineering, while coaching analysts and setting measurement practices
  • Present complex findings to senior stakeholders and shape commercial choices

What you bring

  • Four or more years using causal inference and statistical techniques to answer business questions
  • Advanced SQL and Python skills, with R also accepted
  • A record of guiding strategic choices through work across teams

Who this fits

This senior role suits a data scientist who can connect causal analysis to commercial decisions and advise teams clearly. You’ll work in a hybrid arrangement in Paris, with two remote days each week and one remote-work week per quarter.

From the employer

Hi, we’re Back Market.

We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new.

Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have.

Are you ready to join us?

About the Role

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.

What You'll Do

  • 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.

    What You Bring

    • 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

    Bonus Points

    • 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.

      Interview 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

WHY SHOULD YOU JOIN US ? ✌🏼

At Back Market, we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2).

No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like:

- A mission driven work environment where your day to day makes an impact on the planet. Seriously.

- Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days.

- Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training.

At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values.

We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications.

If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.