Senior Data Scientist ( Economist) - Supply

Back Market

ParisPosted 16 days agoDiscoveredMatch locked

RemoteFullTime4+ years expPRODUCT

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Hi, we’re Back Market.

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.

Not included in the source posting: qualifications, benefits.

Skills

dbtpythonsqltableau

Who can apply

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