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 Price & 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 product pricing and quality on our platform.
What You’ll do
Collaborate with data scientists and software engineers to build new product features using machine learning, LLMs, and statistical techniques.
Drive high-impact projects from problem definition through metrics development, data extraction, model implementation, and presenting results to stakeholders.
Develop, deploy, and maintain machine learning models and pipelines at scale—including both batch and real-time applications.
Design and analyze experiments to measure the impact of new features or model changes.
Leverage deep dive statistical analyses to uncover actionable insights and inform critical tech and product decisions
Communicate your work clearly to engineering, product, and business stakeholders.
About you
At least 3 years of industry experience as a data scientist and Master’s (or PhD ) in a quantitative discipline such as Statistics, Economics or Engineering
Impact-driven: You’ve contributed to data science projects that made a real impact on live, customer-facing products — not just in theory, but in production.
Strong grasp of machine learning and statistical concepts and know how to choose the right model for the problem and make it work in a production environment.
Practical expertise in experimentation design and analysis.
Proficient in Python and SQL, and familiarity with software engineering principles around testing, code reviews, and deployment.
Clear communicator: You are comfortable explaining complex ideas and results to diverse audiences.
Bonus Points
Experience with advanced experimentation design and analysis, causal inference, or price optimization.
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Familiarity with Tableau.
Recruitment process
Call with Stéphane (1h) , Senior Tech TA
Home test
Technical Interview (1h25)
Team Fit (1h)
Back Market Values fit interview - 45 min
