Are you looking to power the next leap in the exciting world of advanced electronics Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.
At
Qnity, we're more than a global leader in materials and solutions for advanced electronics and high-tech industries – we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.
Key Responsibilities
Qnity is accepting applications for a Data Scientist to join our growing R&D organization. This role focuses primarily on
data science and machine learning, supporting scientific and engineering use cases across the company.
A Strong Candidate Will Be Responsible For
- Develop, train, evaluate, and deploy machine learning and deep learning models for scientific and engineering applications
- Perform data cleaning, exploratory analysis, statistical modeling, regression analysis, and data visualization
- Apply cheminformatics techniques using tools such as RDKit for molecular representation, featurization, and structure–property analysis
- Collaborate closely with R&D, data engineering, and software teams to integrate ML solutions into production workflows
- Communicate methods, results, and recommendations clearly to internal stakeholders
- Manage tasks effectively, break down complex problems into logical steps, and maintain well-documented, reproducible workflows
Qualifications
- MS experience in physics, chemistry, materials science, engineering, computer science, or a related field
- Strong expertise in machine learning and deep learning (e.g., regression, clustering, classification, neural networks)
- Strong Python programming skills and experience building end‑to‑end ML workflows
- Experience applying data science to scientific or engineering problems
- Hands‑on experience with chemical information or cheminformatics tools (e.g., RDKit) is a strong plus
- Familiarity with SQL, MongoDB, and data visualization or prototyping tools
- Azure cloud experience preferred
- Fluent in English (written and verbal)
- Strong communication, collaboration, and documentation skills
Join our Talent Community to stay connected with us!
Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.
Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.
We use Artificial Intelligence (AI) to enhance our recruitment process. 
