Data scientist - Recommerce - Causal inference (F/N/M)

Posted 10 Days Ago
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Paris, Île-de-France, FRA
Hybrid
Senior level
Automotive • Consumer Web • eCommerce • Real Estate
The Role
Develop causal inference, experimentation, predictive modeling, segmentation, forecasting, and LTV analyses for leboncoin’s Recommerce business. Measure promotional incrementality, optimize CRM and marketing decisions, identify high-value user segments, predict logistics outcomes, and prototype AI features. Collaborate with data, product, and engineering teams while translating complex analytical findings into actionable business recommendations.
Summary Generated by Built In

leboncoin is France's leading classifieds platform for peer-to-peer transactions, the market leader in real estate and automotive, and a key player in jobs and holiday rentals. Every month, leboncoin is the go-to platform for 28 million French users who value the breadth of its listings and the simplicity of everyday transactions.
At leboncoin, data is at the heart of every decision. By joining the Recommerce Data Analytics  team, you will directly contribute to accelerating the growth of the Recommerce business through analytical and predictive models with a strong business impact.
Your scope: Recommerce
The Recommerce scope covers all physical goods bought and shipped via leboncoin (electronics, books, cultural products, home décor, etc.). It is a fast-growing market, rooted in circular economy trends, with strong challenges around profitability, user retention, and logistics optimisation.
The key challenges of this scope are:
  • Measuring and maximising the long-term value (LTV) of buyers and sellers
  • Understanding the true incrementality of marketing, CRM and promotional actions
  • Predicting and optimising logistics costs and delivery times

You will join a Data Analytics team of 8+ Data Analysts and 2 Data Engineers, working closely together on the Recommerce scope.
Your profile
  • Minimum 6 years of experience as a Data Scientist
  • Strong expertise in causal inference and experimentation (A/B test design and analysis)
  • Proficiency in Python and SQL; hands-on experience with Databricks and Airflow is a plus
  • Experience in predictive modelling (ML, segmentation, time series)
  • Ability to translate complex results into actionable recommendations for non-technical stakeholders
  • Curiosity and drive for concrete business impact
  • Autonomy, rigour and strong analytical mindset
  • Fluent in English
  • Fluent in French

Your responsibilities
Incrementality measurement and causal analysis :
  • Design methodologies to measure the incrementality of promotional initiatives
  • Conduct exploratory and correlation analyses on historical data (revenue, GMV, supply/demand indicators…) to inform re-pricing and promotional initiatives decisions
  • Strengthen performance measurement with forecasting models and robust baseline definition

LTV (Lifetime Value) and segmentation :
  • Identify highest-LTV segments and its drivers to improve prioritization of CRM campaigns and promotional initiatives 
  • Compute CAC/LTV for CRM 
  • Introduce and test a trajectory-based user segmentation to react quickly to decline and churn in the top buyer and seller segments

Prototyping and Discovery :
  • Collaborate with Product MLE and DS on prototyping IA features (weight suggestion, delivery times…) 
  • Run exploratory analysis around improving sell-through (= time between an ad listing  and its sale)  

Benefits
  • Company health insurance
  • 50% reimbursement of your public transport pass
  • 25 days of annual leave and 12 RTT days (additional rest days)
  • A Swile meal card worth €9 per day

At leboncoin, we believe that diversity in backgrounds, experiences and perspectives is essential. This commitment is reflected in our recruitment process: we assess every application solely on the basis of skills, experience and motivation, without any form of discrimination.
If you need any specific accommodations during the recruitment process, please let us know. We’ll be happy to support you.

Skills Required

  • At least 6 years of experience as a Data Scientist
  • Strong expertise in causal inference and experimentation, including A/B test design and analysis
  • Proficiency in Python and SQL
  • Experience with predictive modeling, machine learning, segmentation, and time series
  • Ability to translate complex results into actionable recommendations for non-technical stakeholders
  • Fluent in English
  • Fluent in French
  • Hands-on experience with Databricks and Airflow
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The Company
1,500 Employees
Year Founded: 2006

What We Do

Leboncoin is a French classified-ads and online marketplace that connects individuals and businesses to buy, sell, and exchange goods and services. Founded in 2006 by Schibsted, it operates across major categories including consumer products, automobiles, real estate, and jobs. Its platform matches local supply with demand and facilitates everyday transactions, serving as one of France’s leading peer-to-peer digital marketplaces.

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