Senior Data Scientist - Pricing

Back Market; Paris; Hybride; EUR 75 000 - 110 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Remote work 2 days/week + one remote w

3 flex days

Résumé du poste

Back Market is seeking a seasoned Data Scientist to design and scale AI-driven pricing solutions for our marketplace. You will lead pricing intelligence initiatives, build models, and work with data science and backend teams to produce production-ready features that optimize fees and revenue.

The role requires 5+ years in data science and a Master’s/PhD in a quantitative field, with strong Python/SQL skills and a proven track record in production environments.

Qualifications

• Master’s or PhD in statistics, economics, or engineering.
• 5+ years of industry experience as a data scientist delivering production projects.
• Able to work with ambiguous data and influence product decisions.

Responsabilités

• Design and implement ML models and pricing algorithms for the marketplace.
• Own pricing projects end to end from problem framing to results presentation.
• Collaborate with data scientists and backend engineers to deploy features.
• Design experiments to measure fee strategy impact and optimize performance.
• Analyze data to inform tech, business, and product decisions.
• Communicate findings clearly to stakeholders across teams.

Connaissances

Python

SQL

Machine learning

Experiment design

Production deployment

Pricing knowledge

Communication

Formation

Master’s or PhD in statistics, economics, or engineering

Outils

scikit-learn

Description du poste

About The Role

As part of the Bureau of Technology, you will design, build, and scale AI-driven solutions to improve our marketplace.

You will join the Pricing & Quality team—a mix of data scientists and backend engineers—focused on curating offers that give customers the best value for money.

Your focus will be to implement models and algorithms that optimize fees and pricing.

What You’ll Do

• Drive pricing intelligence: design and implement machine learning models and optimization algorithms that fuel the 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.

About You

• At least 5 years of industry experience as a data scientist and a Master’s (or PhD) in a quantitative discipline such as statistics, economics, or engineering.
• Impact-driven: you have 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 can 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 familiar 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

• 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, mentorship programs, comprehensive accessibility policies, and cultural competency training.

If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.