Back Market, a global marketplace for refurbished devices, is hiring a Senior Data Scientist for its Pricing & Quality team to design and implement machine learning models and optimization algorithms that power its pricing and fee levers.
Responsibilities
- ▹Drive pricing intelligence: design and implement ML models and optimization algorithms for pricing levers
- ▹Own projects end to end, from problem definition and metric design through implementation to presenting results
- ▹Collaborate with data scientists and backend engineers to translate models into production features
- ▹Design and analyze experiments to measure the impact of fee strategies or model changes
- ▹Use statistical analysis to uncover actionable insights
- ▹Communicate clearly with engineering, product, and business stakeholders
Requirements
- ▹5+ years of industry experience as a data scientist, with a Master's (or PhD) in a quantitative discipline (statistics, economics, engineering)
- ▹Track record of shipping data science work that impacted live, customer-facing products
- ▹Comfortable with ambiguity, able to propose direction with imperfect data
- ▹Strong grasp of machine learning and statistical concepts, choosing the right model for production
- ▹Practical expertise in experimentation design and analysis
- ▹Proficient in Python and SQL, familiar with software engineering practices (testing, code review, deployment)
- ▹Clear communicator of complex ideas to diverse audiences, including senior management
Nice to have
- ▹Experience in pricing, B2C marketplaces, or revenue management
Soft skills
Clear communicationIndependent decision-making under ambiguityCross-functional collaboration
What we offer
- ▹Mission-driven work environment with real planetary impact
- ▹Hybrid work: 2 remote days a week plus one remote week per quarter, plus 3 flex days
- ▹Employee Resource Groups, mentorship programs, accessibility and cultural competency training
About the company
Back Market is a global marketplace for refurbished devices, offering trustworthy, affordable tech with 92% less carbon emissions than new; a high-scoring certified B Corp (93.2).
Education: Mesterdiploma vagy PhD kvantitatív területen (statisztika, közgazdaságtan, mérnöki tudomány)
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