Senior Data Scientist

TA Instruments is a world-leading Scientific Instrumentation company with a focus on Material Characterization.

Our instruments play a pivotal role in various fields, including electric cars, 3D Printing, batteries, recyclable plastics, space suits, candy that melts in your mouth, paint that applies smoothly and dries without streaks, and even ensuring your French fries have the perfect crunch. Material Science uniquely spans the fields of physics, chemistry, engineering, and manufacturing.

Our instruments and software come together to aid in accelerating the design of new materials as well as the quality of manufacturing those materials.

We are looking for a Senior Data Scientist with expertise in materials science, thermal analysis, and rheology to lead the development of advanced data-driven solutions. You will collaborate with scientists, engineers, and product teams to create algorithms, predictive models, and data pipelines that improve instrument performance, automate analysis, and provide insights to our customers.

This role bridges deep domain knowledge in materials characterization with cutting-edge data science and is key to scaling our analytical capabilities.

This is a hybrid position - 3 days per week on site (Tuesday-Thursday) based out of our New Castle, DE TA Instruments HQ

As a Senior Data Scientist, you will:

Lead Data Science Initiatives

Develop machine learning and statistical models for interpreting complex rheology and thermal analysis data (e.g., DSC, TGA, DMA).
• Implement advanced signal processing, noise reduction, and feature extraction methods for time-series and spectral data.

Product Innovation

• Collaborate with R&D to integrate data-driven features into instrument software.
• Prototype AI-assisted methods for experiment optimization and anomaly detection.

Data Infrastructure

• Build and maintain reproducible, scalable data pipelines for experimental datasets.
• Ensure compliance with data quality, storage, and metadata standards.

Stakeholder Engagement

• Partner with scientists to define analytical needs and translate them into technical requirements.
• Present findings to both technical and non-technical audiences

As a Team Member you will:

• Participate in all team meetings and ceremonies in direct collaboration with other sites, provide input and feedback, take ownership on identified improvements.
• Actively participate in learning and sharing activities either during informal or formal training and demos.
• Demonstrate continuous technical improvement.

Required

• M.S. or Ph.D. in Data Science, Materials Science, Applied Physics, Chemical Engineering, or related field.
• 5+ years of experience in data science, with significant exposure to thermal analytics and/or rheology.
• Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and data visualization tools (Matplotlib, Plotly).
• Expertise in time-series analysis, multivariate statistics, and machine learning.
• Proven track record of translating domain-specific problems into robust analytical solutions.

Preferred

• Experience integrating ML algorithms into scientific instruments or laboratory software.
• Familiarity with rheological models, viscoelastic properties, and thermomechanical analysis techniques.
• Knowledge of cloud-based data storage and computation frameworks.
• Strong publication or patent record in relevant fields.
• Mentor junior team members and interns in best practices for coding, analysis, and domain-specific modeling.
• Foster cross-functional knowledge sharing between data science and materials science teams.

Waters Corporation (NYSE:WAT) is a global leader in analytical instruments, separations technologies, and software, serving the life, materials, food, and environmental sciences for over 65 years. Our Company helps ensure the efficacy of medicines, the safety of food and the purity of water, and the quality and sustainability of products used every day. In over 100 countries, our 7,600+ passionate employees collaborate with customers in laboratories, manufacturing sites, and hospitals to accelerate the benefits of pioneering science.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.