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Job Description

The position is based in Paris with up to 4 days of telework per week (no full remote).

If you enjoy working in a team, value human interaction, and are highly motivated to join an innovative and dynamic company where you can propose your ideas and put them into practice, we want to meet you! 🙂

 

We are looking for a Data Scientist to join our Recommendation and Homepage team to help support the growth of leboncoin and more broadly of Adevinta marketplaces by developing recommendation and personalization algorithms. You will be responsible for improving our recommendation algorithms and innovating with features that personalize the user journey, especially by personalizing the homepage, an essential entry point for our millions of users. Your work will have a direct impact on user experience, contributing to making our marketplace more intuitive and engaging.

Our multidisciplinary team consists of 9 people: data scientist, machine learning engineer, front-end developers (Web, Android, iOS), backend developers, all coordinated by a product owner and an engineering manager.


 

Why joining us?

  • You will implement state-of-the-art algorithms using cutting-edge technologies and frameworks: Tensorflow, Pytorch, LLM, Kubeflow, Spark, AWS (S3, Redshift, Athena), Kubernetes, MLFlow, Milvus, and more.

  • You will work on an engine used by millions of users every day.

  • You will explore a huge amount of data. Data at leboncoin is:

    • Hundreds of thousands of ads posted every day

    • And more generally, over a petabyte of data to leverage

  • You will join a strong Data community and more specifically the Data Science Guild where you will have the opportunity to exchange with your peers from other tribes!

  • You will participate in Machine Learning/Tech conferences.

  • Position based in Paris 10th

Your mission :

  • Develop and optimize recommendation and personalization algorithms to improve the user experience on our marketplace. It includes ads recommendation, sellers recommendation, similar ads…

  • Analyze and exploit our huge amount of data (text, image, etc.) to identify opportunities for improving existing algorithms and creating new features.

  • Work closely with machine learning engineers, other data scientists, and backend developers to deploy and adapt solutions to meet the needs of our millions of users.

  • Define metrics to track the performance of our models, perform A/B tests to assess your models' performance

  • Review the code developed by other team members and provide feedback to help adopt good practices (e.g., code guidelines, efficiency, testability, accuracy, etc.)

  • Actively participate in team meetings, contributing to the overall strategy of the Recommendation and Homepage team.

  • Stay up-to-date with the latest trends and technologies in data science and machine learning, and evaluate their applicability to our needs.

Additionally :

  • Conduct research to improve our knowledge and our tooling on machine learning (especially those related to recommendation) and share them with your team and other guild members.

  • Participate in the enrichment of the ML platform to develop, test, and industrialize models, development of tools and libraries in Python.

  • Participate in design reviews to decide on the best technological choices.

Your profile :

  • You have a minimum of 3 years of experience in a similar position.

  • You have completed a training program with a focus on Data Science / Machine Learning / Software Engineering / Engineering

  • You possess an advanced level in Python and are proficient in the main Machine Learning frameworks (Tensorflow, PyTorch, etc.).

  • You have advanced knowledge in machine learning theory - especially in recommendation and NLP.

  • You have significant experience in implementing, deploying, and maintaining models in production environments

  • You prefer simple and efficient code. You apply good software development practices on a daily basis: agile process, design patterns, TDD, CI/CD, reviews, etc.

  • You are able to communicate complex ideas and the logic behind ML concepts clearly and make them understandable for the business.

  • You regularly keep up with technological advancements.

  • You are meticulous but also open to changes.

  • You enjoy teamwork. We believe in team success more than individual success, and you will be working in a team regularly.

  • You are proficient in both French and English (written and spoken) due to the international context and interactions expected within the company.

Bonus :

  • You have experience with recommendation or search topics

  • You are familiar with cloud environments (preferably AWS)

  • You have published research papers, blog articles, made open-source contributions, etc.

The list of technologies and methodologies mentioned is illustrative. We understand that not everyone may possess all the skills and know the entire stack required from day one. If you are passionate about data and motivated to develop your skills, we encourage you to apply.

Benefits

Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits:

  • An attractive Base Salary.
  • Participation in our Short Term Incentive plan (annual bonus).
  • Employee Stock Purchase Program with a match from Adevinta.
  • Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moon - well why not! just make sure you have internet connection!
  • A 24/7 Employee Assistance Program for you and your family, because we care.
  • Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow.


On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters!

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Data Scientist - Recommandation | Adevinta Spain
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