IFF

Data Scientist – Scent

IFF
Posted 10/20/2026full-timeNeuilly-sur-Seine • FranceMid-LevelSeniorWebsite
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Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing data science capabilities and advanced analytical methods to generate insights, with strong programming skills in Python and knowledge of machine learning and graph algorithms. Ability to collaborate effectively in multidisciplinary teams and communicate complex concepts clearly.

Highest-signal resume keywords
Master's Degree In Machine LearningPython ProgrammingGraph Algorithms KnowledgeML/MLOps Ecosystem FamiliarityData Analysis Skills

Tech Stack

Tools & technologies
PythonScikit-Learn

About the role

Key responsibilities & impact
  • Develop the data science capability within the Scent organization
  • Contribute to the development of new tools to accelerate and enhance Fragrance Creation
  • Link with the IT team based in Chennai, India, and ensure effective integration of beta version tools into the corporate application system
  • Research and develop analysis and optimization methods to generate competitive insights and formulate actionable knowledge
  • Explore potential areas where data science should be deployed over IFF
  • Identify potential challenges or risks and provide information to stakeholders
  • Work with large, complex data sets and solve difficult, non-routine analysis problems using advanced analytical methods
  • Conduct data gathering, 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
  • Collaborate with data scientists, engineers, and Scent teams in a multidisciplinary environment

Requirements

What you’ll need
  • 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,…)
  • Ease with ML/MLOps Ecosystem for Python (Polar, UV, Pydantic, FastAPI, scikit-learn)
  • Ability to translate a business problem into a model and an algorithmic strategy
  • Real interest in perfumery and fragrance formulation
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem
  • Excellent communication, organization, interpersonal and presentation skills
  • Demonstrated leadership and self-direction
  • Willingness to teach others and learn new techniques
  • Self-sufficient

Benefits

Comp & perks
  • Home office opportunity
  • Training opportunities
  • Learning and development programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningData AnalysisGraph Neural NetworksStatistical Tools SelectionAlgorithm Development
Soft Skills
Excellent CommunicationInterpersonal SkillsOrganization SkillsLeadershipSelf-Direction
Tools & Technologies
PolarUVPydanticFastAPIScikit-Learn
Industry Keywords
Fragrance CreationData SciencePerfumeryData StructuresOptimization Methods