Senior Data Scientist - AI Core

Reposted 9 Days Ago
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Paris, Île-de-France, FRA
Hybrid
Senior level
eCommerce • Greentech • Sharing Economy
Our startup revolutionizes the way people buy tech devices
The Role
As a Senior Data Scientist at Back Market, you'll lead AI projects, develop scalable machine learning models, and mentor peers while enhancing AI adoption across teams.
Summary Generated by Built In
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?

As part of the Bureau of Technology, you'll design, develop, and implement AI-driven solutions that improve our marketplace. You'll be joining the AI Core Team, a group of data scientists and software engineers working together to incubate high-impact product features and help other teams use AI effectively.

Your work will span R&D on emerging AI technologies and building innovative AI applications across areas like Agentic Shopping and Fraud Detection. You'll also play a key role in growing our AI community at Back Market by setting standards, sharing knowledge, and coaching teams on how to work with AI.

Here is an overview of what we are currently doing:

1. https://engineering.backmarket.com/how-machine-learning-boosted-available-cash-flows-for-our-sellers-eddd697269fc

2. https://dust.tt/customers/back-markets-fraud-team-builds-ai-detection-system-in-one-week-contributing

3. https://www.linkedin.com/posts/florianvaleye_generativeai-llm-ai-activity-7137833031997779968-CHLl?utm_source=share&utm_medium=member_desktop

4. https://www.linkedin.com/posts/florianvaleye_dataengineering-ai-largelanguagemodel-activity-7141117138756444160-fDDP?utm_source=share&utm_medium=member_desktop

What you will do:

  • Identify company problems and opportunities that AI can address, own them end-to-end, from problem definition to production rollout, collaborating with stakeholders and relevant teams to design and ship the product features that solves them.

  • Hands-on development, productionisation, and operation of machine learning models and/or GenAI applications at scale. This includes integrating and optimizing LLMs for production environments.

  • Regularly present work internally (demo, internal conferences,...) to technical, engineering and product stakeholders to acculturate the business to AI related topics

  • Act as an internal AI enablement expert, helping Back Makers get the most out of tools like Dust and Claude Code. This means running workshops, sharing engineering best practices, and coaching teams on how to integrate AI into their work effectively

About you:

  • 6+ years of industry experience in data science or related fields, with a Master's or PhD in a quantitative discipline (Statistics, Economics, Sciences, or Engineering)

  • Proven track record of leading impactful data science initiatives that solve real business problems, with the ability to mentor and develop scientists, engineers, and peers

  • Deep knowledge of the ML lifecycle, algorithms, best practices, and domains such as time series, NLP, and recommendations, including hands-on experience with LLMs, prompt engineering, and Generative AI APIs

  • Strong ability to design end-to-end AI and data architectures that integrate with existing product systems, data platforms, and engineering infrastructure, with solid Python skills and software engineering fundamentals (testing, code review, deployment)

  • Proficiency in AI-assisted and agentic coding workflows (e.g. Claude Code), and strong communication skills to convey complex technical concepts to both technical and non-technical audiences

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.

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The Company
Brooklyn, NY
450 Employees
Year Founded: 2014

What We Do

At the heart of Back Market is a simple idea: make devices a bit cleaner by making them last a bit longer. We think it's time to offer a strong and mainstream alternative to new products by making existing used devices more appealing to potential customers and making them accessible as a strong alternate option.

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