Scientist Machine Learning Ingredient Discovery - Long , NY

Overview

Location:

Princeton, NJ or Long Island City, NY

We are seeking a skilled Data Scientist with deep expertise in developing and applying machine learning models, including LLMs and agents, as well as user-facing apps for small molecule design and pipeline prioritization. The successful candidate will join the Ingredient Modeling team within dsm-firmenich's R&D Data Science unit and work with data scientists, chemists, biologists, and perfumers to transform our internal molecule discovery process, closely integrating AI with chemistry, biotech and olfaction and taste.

• Use data science and AI to drive a fast-paced ingredient discovery pipeline that generates value for taste, texture and health segments.
• Develop and implement machine learning models to support ingredient discovery processes.
• Use Python and libraries (e.g., Num Py, Sci Py, Pandas, Matplotlib, Scikit-Learn, Tensor Flow, PyTorch, Keras) to build and optimize ML models.
• Apply neural network architectures and multi-objective optimization to solve ingredient design problems including exploration of chemical space; deploy and manage ML workflows on Azure and AWS.
• Stay abreast of ML, neural networks and cheminformatics advancements and apply them to drive innovation within the team.
• Utilize tools such as git, generative AI, agentic workflows, graph and relational data models, cloud-native computing and API endpoints in daily work.
• Collaborate with data scientists, chemists, biologists and perfumers to translate scientific requirements into scalable and user-friendly modeling tools and drive project success.

• Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, Artificial Intelligence or Quantitative Finance / Economics.
• 2–5 years of additional academic or industrial experience in cheminformatics and computational chemistry, ideally applied to ingredient-drug discovery or sensory biology; or other relevant areas.
• Experience with ML for trading/quantitative investing or similar backgrounds are welcome.
• Record of accomplishments demonstrating drive and entrepreneurial innovation.
• Strong proficiency in Python and data science libraries (Num Py, Sci Py, Pandas, Matplotlib, Scikit-Learn, Tensor Flow, PyTorch, Keras).
• Strong proficiency in cheminformatics toolkits such as RDKit.
• Understanding of ML algorithms, multi-objective optimization and (graph) neural networks.
• Experience with responsible AI coding practices, CI/CD, and cloud services (Azure or AWS) is a plus.
• Excellent problem-solving skills, ability to work independently and collaboratively, and strong communication skills.

The salary range is $100,000–$140,000. This position is eligible for bonuses and benefits; actual pay will be based on skills, experience, education, and location.

In addition to base salary, a comprehensive total rewards package is offered, including annual incentive pay, retirement savings plan, health care coverage, paid time off, recognition programs and other benefits. All benefits are subject to eligibility.

About dsm-firmenich:
We are committed to science-based innovations and an inclusive workplace. We are an equal opportunity employer and welcome candidates from all backgrounds. For applying, please submit your resume in English.