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# Senior Data Scientist - Pricing

- **Company:** Back Market
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Code Review, Data Mining, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Backend, Optimization Algorithms
- **Published:** October 1, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bcfc1d7047710a23

## About the Role

* 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.

## Description

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.