Data Scientist - Scent

At IFF, the heart of our company is fueled by a sense of discovery, constantly asking “what if?” That passion for exploration drives us to co-create unique scents and tastes in fine fragrances and beauty, detergents and household goods, as well as beloved foods and beverages.

You will be part of the department in charge of the Scent digital transformation. The position is based in Neuilly-sur-Seine.

As a Data Scientist, you will create and improve IFF creative toolset. You will collaborate with a multi-disciplinary environment constituted of other data scientist, engineers and Scent teams. This position will bring scientific rigor and digital approach to the challenges of fragrance creation.

Together we can achieve greatness and make a real impact. Your potential is our inspiration.

Where You’ll Make a Difference

• Develop the data science capability within the Scent organization.
• 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.

What Makes You the Right Fit

• 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.

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.

Why Choose Us?

• Home office opportunity
• Training opportunities
• Learning and development programs

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

About Us

At IFF, we make joy through science, creativity and heart. As the global leader in flavors, fragrances, food ingredients, health and biosciences, we deliver groundbreaking, sustainable innovations that elevate everyday products – advancing wellness, delighting the senses and enhancing the human experience. We value an inclusive, creative workplace where all individuals can thrive and do their best work. We consider all qualified candidates equally and based on merit, without regard to religion, ethnicity, national origin, race, age, veteran status, gender identity or expression, sexual orientation or disability.