Applied Data Scientist – Scientific Digital Transformation

Momentive•Pearl River, NY

About The Position

We are seeking a highly motivated Data Scientist with a strong foundation in computer science, computational science, data science, and machine learning, combined with expertise in chemistry, chemical engineering or material science. In this role, you will support our digital transformation initiatives in scientific research and new product development. The position is pivotal in bridging the gap between data science and domain expertise in chemistry, chemical engineering, polymers, and materials science This position is part of a strategic pilot program aimed at embedding digital and AI-driven capabilities into R&D workflows. It offers a unique opportunity to contribute to cutting-edge scientific innovation while enhancing research efficiency, collaboration, and overall team productivity through digital transformation.

Requirements

Ph.D. in Computer Science, Data Science, Chemical Engineering, Applied Mathematics, Physics, or a related field.
Strong programming proficiency in languages such as Python, R, MATLAB, and SQL.
Experience with machine learning and AI frameworks, including scikit-learn, PyTorch, TensorFlow, or Keras.
Demonstrated ability to analyze and interpret complex datasets, including image and experimental data.
Familiarity with scientific research environments and terminology.
Excellent communication and collaboration skills.

Nice To Haves

Background in Chemistry, Chemical Engineering, Polymer Science, or Materials Science.
Experience working in cross-functional teams involving scientists and technologists
Prior experience in developing predictive models for scientific applications
Basic experience with Data Visualization and Analytics Tools such as Matplotlib, Seaborn, or Plotly.
Understanding of ODE/PDE-based system modeling and parameter optimization for performance improvement in chemical or material science applications.
Proficiency with statistical analysis software, including Minitab and JMP.
Familiarity with scientific instruments such as microscopy (SEM, TEM, optical), spectroscopy (FTIR, Raman, UV-Vis, fluorescence), and rheological measurement.

Responsibilities

Develop and implement algorithms to address complex data analysis challenges in scientific domains.
Perform quantitative analysis of experimental and image-based data to uncover patterns and generate actionable insights.
Collaborate with scientists to automate and optimize R&D workflows, including image analysis for application testing, and to expand predictive modeling capabilities (e.g., biodegradation) using existing datasets.
Serve as a liaison between IT, data science, and scientific teams to ensure alignment with research objectives.
Contribute to patent applications and scientific publications through data-driven innovation.

Benefits

Health, dental & vision insurance, including critical illness coverage and optional orthodontia coverage.
Paid parental leave for the birth of a child; adoption and surrogacy reimbursement.
Short term disability with 100% base salary coverage.
Company funded counseling (EAP) and assistance finding care for children, parents, or pets.
25 days of Paid Time Off (PTO) plus paid holidays.
Additional time off with years of service.
401k savings plan with 5% employer match plus additional contribution based on years of service.
Student debt pay-off program.
Professional development programs and courses.
Wellness programs and financial education.