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Senior Data Scientist ( Economist) - Supply

at Backmarket

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May require office time ● Posted today Paris Data

About this role

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.

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Real Remote Score 37/100 · see the full breakdown

Real Remote Score

37/100

Weak

Comp
0/25
Location
4/25
Source
5/15
Clarity
8/15
Freshness
20/20
Why this score? ▾
  • Compensation · No salary disclosed 0/25
  • Location · Specific city or narrow scope 4/25
  • Source · Generic aggregator 5/15
  • Role clarity · Seniority clear, stack not in title 8/15
  • Freshness · Posted today 20/20

How the Real Remote Score is calculated → · Score appeals & corrections

Hybrid Transparency Score 0/100 · see the full breakdown

Hybrid Transparency Score

0/100

Weak

Days
0/30
Location
0/30
Schedule
0/15
Relocation
0/15
Source
0/10

This role is hybrid: it expects some in-office presence. HTS grades how clearly the employer discloses the hybrid terms. How the Hybrid Transparency Score works →

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