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AI role · Open offer

Data Scientist — pricing & marketplace

Back Market

Permanent (CDI)
Full-time
Mid
Pricing intelligence
Hybrid
37 Rue du Caire, Paris, IDF 75002, France · Hybrid
Paris, France
EUR 55k–75k/year + BSPCE

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills1 tool

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 37 Rue du Caire, Paris, IDF 75002, France · Hybrid
Compensation: EUR 55k–75k/year + BSPCE
Experience level: Mid
Team: Pricing intelligence
Benefits & perks: BSPCE, produit reconditionné, hybrid Paris 2e.
How to apply: Modèle pricing ou élasticité avec impact business mesuré.
Company site: www.backmarket.com
Listed: Jun 23, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Back Market is hiring a Mid Data Scientist — pricing & marketplace on the Pricing intelligence team (Hybrid · Paris, France). This is a hands-on role in ML platform & MLOps—not a generic “AI enthusiast” post.

You will own training, deployment, observability, and cost control end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Back Market est le leader européen du reconditionné — pricing dynamique et personnalisation à l'échelle depuis Paris.

Data Scientist pricing (hybride Paris 2e) : modèles d'élasticité prix, forecasting demande et expérimentation A/B sur marketplace.

À propos de Back Market

Licorne française présente dans une dizaine de pays.
Culture data-driven avec stack moderne (dbt, warehouse cloud).
Équipe IA produit à Paris 2e.

Missions

Entraîner modèles pricing et mesurer impact marge/conversion.
Collaborer avec produit sur tests contrôlés et interprétabilité.
Industrialiser features avec data engineers.

Stack & environnement

Python, SQL, scikit-learn, PyTorch, dbt, experimentation platform.
Hybride Paris 2e.

Profil recherché

3+ ans data science en e-commerce ou marketplace.
Éligibilité travail en France.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Machine Learning
Practical Machine Learning experience applied to training, deployment, observability, and cost control in production or rigorous pilots.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

dbtTool
Regular use of dbt in the ML platform & MLOps stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Modèle pricing ou élasticité avec impact business mesuré.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Machine Learning, and dbt.
You have owned training, deployment, observability, and cost control in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Paris, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 55k–75k/year + BSPCE, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

Modèle pricing ou élasticité avec impact business mesuré.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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