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# Data Scientist - Scent

- **Company:** International Flavors & Fragrances
- **Location:** Neuilly-sur-Seine, France
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Software Applications, Computer Programming, Data Structures, Python (Programming Language), Machine Learning, Beta Testing, Fastapi, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9c7dab9e22c9e549

## About the Role

* Master's degree in Machine Learning, applied mathematics or computer science (Grandes Ecoles preferred).
 * Excellent algorithmic and programming skills (Python mandatory) - Mandatory knowledge of graphs both programmatically (GNN for analysis & generation) and algorithmically (Dijkstra, Bellman, maximum flow, Ford & Fulkerson, community detection,…) .
 * You are ease with ML/MLOps Ecosystem for Python (Polar, UV, Pydantic, FastAPI, scikit-learn) You know how to translate a business problem into a model and an algorithmic strategy.
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How Would You Stand Out?

 * You have real interest in perfumery and fragrance formulation.
 * Excellent communication, organization, interpersonal and presentation skills.
 * Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
 * Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.
 * Be a creative force. Self-sufficient.
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## Description

* Contribute to the development of new tools to accelerate and enhance Fragrance Creation (beta version models).
 * Link with IT team based in Chennai / India and ensure effective integration of beta version tools into corporate application system.
 * Research and develop analysis, optimization methods to generate competitive insights and formulate into actionable knowledge.
 * Explore potential areas where data science should be deployed over IFF.
 * Identify potential challenges or risks and provide the information to stakeholders.
 * Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of IFF data structures and metrics, advocating for changes needed for fragrance development.
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