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Data Scientist

Veepee

Paris

Sur place

EUR 45 000 - 65 000

Plein temps

Hier
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Résumé du poste

A leading e-commerce company in Paris is seeking a Data Scientist to enhance its recommender systems. You will design and experiment with algorithms using large-scale data to improve user engagement and conversion. The ideal candidate has skills in Python, SQL, and ML libraries and is passionate about driving results through data insights. Join a dynamic international team and contribute to innovative solutions in a fast-paced environment.

Prestations

Flexible schedule
Team buildings & afterworks
Dynamic international team

Qualifications

  • Experience with recommender systems or e-commerce is a strong plus.

Responsabilités

  • Design, train, and evaluate recommender system models.
  • Conduct data exploration and feature engineering.
  • Perform offline experiments and A/B tests.
  • Collaborate with ML Engineers for model deployment.
  • Present findings during Data Science Demos.

Connaissances

Proficiency in Python (Pandas, NumPy, Scikit-Learn)
Proficiency in SQL
Foundational knowledge of Machine Learning
Experience with ML libraries (XGBoost, LightGBM, TensorFlow, PyTorch)
Solid understanding of statistics and evaluation metrics
Strong verbal and written English communication
Description du poste

Pioneer of online flash sales since 2001 and key player in European e-commerce Veepee collaborates with over 7000 brands to offer highly discounted products available for a limited time. Operating across various sectors including fashion home wine travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5000 staff members across 10 countries.

JOB DESCRIPTION

As a Data Scientist youll join our Data Science team distributed across Paris Lyon Barcelona and Brussels.

The team focuses on implementing maintaining and continuously improving our recommender systems.

Today we deliver personalized sales recommendations to millions of users in real timeand were now scaling to include hundreds of thousands of products.

You will design and experiment with algorithms that power personalized recommendations across millions of users. Y

oull work with large-scale behavioral and product data to build models that increase engagement and conversion collaborating closely with ML and Data Engineers to move your ideas to production.

Responsibilities
  • Design train and evaluate recommender system models using state-of-the-art ML techniques.
  • Conduct in-depth data exploration and feature engineering to extract actionable insights.
  • Perform offline experiments and A / B tests to validate model impact on key business metrics.
  • Collaborate with ML Engineers to ensure smooth model deployment and monitoring.
  • Present findings and new approaches during Data Science Demos.
Requirements
  • Proficiency in Python (Pandas NumPy Scikit-Learn etc.)Proficiency in SQL.
  • Foundational knowledge of Machine Learning.
  • Experience working with Machine Learning libraries (XGBoost LightGBM TensorFlow PyTorch).
  • Solid understanding of statistics evaluation metrics and experimentation design.
  • Prior experience with recommender systems or e-commerce is a strong plus.
  • Strong verbal and written English communication.
BENEFITS
  • Bepartofadynamicandinternationalteam!
  • Flexibleschedule
  • Teambuildings&afterworks
RECRUITMENT PROCESS
  • 1 HR Interview
  • 2 Technical Interview
  • 3 Team ITW

Allourpositionsareopentopeoplewithhealthconditionsorimpairments.

!FortheserviceofdiversityandinclusionVeepeeiscommittedtoreviewingallapplicationsreceivedonanequalbasis.

COMPANY

Formoreinformationaboutourecosystem : WHO WE ARE

Veepeeᵀᵉᶜʰ is a tech community of 500 collaborators who play a key role in Veepees innovative strategy.

From Warsaw to Sevilla through Brussels Amsterdam Paris Lyon Nantes Nice Barcelona Madrid and Lausanne all our projects are developed in an agile environment with a wide skills variety where youll be sure to find your place no matter the technology you work with.

If you love to try things why dont you jump on this new adventure

Need more info >

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We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1

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