Back Market
Senior Data Scientist - Pricing
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Paris
Employer listed it 4 months ago · Added 4 days ago
Been open since 4 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Paris
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Paris, Barcelona, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Paris, Barcelona, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
Requirements
- ·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 .
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Back Market, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
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Free to apply, no account needed.
Typically $145k to $210k per year · You'll be taken to the employer's careers page.