Senior Data Scientist - Pricing

Back Market is hiring a Senior Data Scientist - Pricing in Paris, France. Level rates it ; you can apply on Back Market.

Level's read on this job

Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
Some of the work can be done remotely, according to the posting.
The posting mentions Python, SQL and machine learning among its tools and skills.
Level classes it as a senior role.
Back Market has 32 other open roles on Level.

AI in this role

Design and scale machine learning models and optimization algorithms to drive pricing intelligence and marketplace quality.

pythonsql

machine-learningpricing-algorithmsexperimentationdata-science

Hi, we’re 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.

Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have.

Are you ready to join us?

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.

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.

Recruitment process

Call with one of our Tech recruiter (1h)
Technical screening (30 min)
Technical Interview (1h15)
Stakeholder interview (1h)
Meet your manager (30min)
Back Market Values fit interview (45 min)

WHY SHOULD YOU JOIN US ? ✌🏼

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. 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.

At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values.

We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications.

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

How we rate this

Senior Data Scientist - Pricing at Back Market rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Scientist - Pricing is an open job at Back Market.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Paris and is marked remote.
The job was posted on May 18, 2026.
Seniority: senior.
Applications are handled by Back Market. Apply on Back Market

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningPricing AlgorithmsExperimentationData SciencePythonSQL

Also common in data scientist jobs at this level

LLM Generative AI AWS Spark PyTorch Deep learning

Pay

Typical data scientist job: $166k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where pricing algorithms was part of your work. What did you do?
Tell me about a project where experimentation was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Pricing Algorithms, Experimentation, Data Science, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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