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Data Scientist

OVENTI Consulting

Fresnes · Hybrid Full-time Senior 1w ago

About the role

About OVENTI Consulting

OVENTI Consulting is a Data and Artificial Intelligence consulting firm that combines cutting-edge technical expertise, strategic vision, and tailor-made support. We cover the entire Data/AI project lifecycle, from strategy to the implementation of personalized solutions (ML, BI, intelligent automation).

Our teams, from top schools, integrate with our clients or operate from our internal LAB, a true hub of innovation. At Oventi, we prioritize "tailor-made" and concrete innovation. Each employee is supported, trained, and monitored to ensure a culture of excellence and real impact.

Why this role is key?

Integrated into the Assortment Squad, you are a central pillar in developing the analytical components at the heart of the recommendation engine. Your role is to design sophisticated data solutions to optimize strategic product choices, thereby ensuring commercial performance and the relevance of the in-store offering.

Your daily missions:

Develop analytical components for the recommendation engine:

  • Clustering & Attributes: Develop clustering algorithms to group stores by "DNA" and refine assortment envelopes (TACs).
  • Forecasting & Cannibalization: Model sales transfer when a product is removed from the assortment to secure overall revenue.
  • Optimization: Actively participate in the implementation of constraint optimization solvers.
  • GenAI (Bonus): Explore the use of Generative AI to enrich missing product attributes (e.g., "Sweet taste", "Texture").

Ensure operational excellence and continuous improvement:

  • Analysis and Impact: Evaluate code quality and its business impacts, while questioning existing solutions to optimize them.
  • Standards Compliance: Deliver high-performing solutions within deadlines, while maintaining high-quality standards.
  • Business Collaboration: Ensure fluid communication (written and oral) with business teams to translate needs into technical solutions.

Contribute to collective dynamics:

  • Team Spirit: Collaborate effectively with squad members to achieve common goals.
  • Reflection: Objectively evaluate issues and propose structuring improvement axes for the platform.

Technical Stack:

  • Languages: Python (Pandas expert), SQL
  • Machine Learning: Scikit-learn, Clustering Algorithms
  • Specialties: Sales Forecasting (Timeseries), Constraint Optimization
  • Innovation: NLP, GenAI (LLM for attribute enrichment)

You are the ideal person if:

  • More than 7 years of experience as a Data Scientist, with a solid track record of production projects.
  • Graduated with a Bac+5 from an engineering school or equivalent university with a specialization in computer science or data.
  • Retail Expertise: Experience in the retail or mass distribution sector is a major asset.
  • Analytical Mastery: Excellent modeling skills (Clustering, Timeseries) and an appetite for optimization topics.
  • Soft Skills: Excellent communication in French, sharp analytical skills, ability to step back, and a strong taste for teamwork.

Why join OVENTI?

Joining Oventi means choosing a unique professional adventure:

  • Human-sized structure: Fostering exchange, autonomy, and innovation, where your impact is direct and visible.
  • High-value missions: In various sectors, with a "tailor-made" approach where our solutions have significant impacts on our clients.
  • Culture of technical excellence: With real career support and personalized follow-up.
  • Passionate and engaged team: Carefully recruited engineers, continuously trained, and invested for the long term.
  • Agility of a startup, rigor of an expert firm: The best of both worlds for a rewarding experience.
  • Impactful, visible, and rewarding missions: Where you will have a real impact on business decisions and generated business value.

Location:

Paris with 2 days of remote work per week

Compensation:

According to Profile

Start Date:

ASAP

Skills

PandasPythonScikit-learnSQLClusteringGenAILLMNLPTimeseries

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