Back Market

Senior Data Scientist – AI Core

Back Market

full-time

Posted on:

Location Type: Hybrid

Location: Paris • France

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Job Level

Senior

Tech Stack

Python

About the role

  • 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

Requirements

  • 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.
Benefits
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata sciencePythonLLMsprompt engineeringGenerative AI APIsAI and data architecturessoftware engineering fundamentalstestingcode review
Soft Skills
communicationmentoringcollaborationproblem-solvingpresentationcoaching
Certifications
Master's degreePhD