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Senior Data Scientist – Pricing
Back MarketSenior Data Scientist developing AI-driven solutions for Back Market's pricing and quality team. Implementing models and algorithms to optimize pricing strategies and enhance customer value.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningOptimization AlgorithmsStatistical AnalysisExperiment DesignPythonSQLData ExtractionModel ImplementationProduction EnvironmentData Science
Soft Skills
CommunicationCollaborationProblem DefinitionImpact-drivenComfortable with AmbiguityClear Communicator
Certifications
Master’s DegreePhD