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Senior Data Scientist - Pricing

Back Market - Paris, France, Barcelona, Bordeaux

Posted May 18, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist - Pricing Paris, France, Barcelona, Bordeaux 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 As part of the Bureau of Technology, you'll design, build, and scale AI-driven solutions to improve our marketplace. You'll join the Pricing & Quality team (a mix of data scientists and backend engineers) focused on curating offers to give customers the best value for money. Your focus: implement models and algorithms to optimize fees and pricing. What You'll do - Drive pricing intelligence : design and implement Machine Learning models and optimization algorithms that directly fuel a comprehensive suite of pricing levers - Own projects end to end : from problem definition and metrics design, through data extraction and model implementation, to presenting results to business and product stakeholders. - Collaborate with data scientists and backend engineers to translate models into production-ready

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