About 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. Our mission is simple: to do more with what we already have.
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 features
- Design and analyze experiments to measure the impact of fee strategies or model changes.
- Leverage statistical analyses to uncover actionable insights and inform critical tech, business and product decisions
- Communicate your work clearly to engineering, product, and business stakeholders.
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.
- 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.
About you
- At least 5 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.
- Comfortable with ambiguity: you are able to make decisions and propose directions even when the problem is not fully defined or the data is imperfect
- 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, including senior management.
- Experience in pricing, B2C marketplaces or revenue management is a strong plus.
