Materials Data Scientist

We are seeking a Materials Data Scientist to join our Corporate R&D team to support R&D efforts by designing and implementing predictive models and data driven workflows to accelerate innovation and performance prediction of materials and formulations in chemistry, polymer science, and material science. This position will work with large, complex datasets and have the scientific insight to turn datasets into actionable breakthroughs in materials and formulation science.

Primary Responsibilities

Partner with R&D teams to design and implement predictive models and data-driven workflows for materials and formulation innovation.

Manage, clean, transform, and integrate large datasets from experimental, formulation, and materials testing sources.

Identify patterns, correlations, and performance drivers in materials systems through advanced analytics.

Leverage machine learning and statistical methods to accelerate material selection, formulation optimization, cost, and performance prediction.

Help build and execute a roadmap for R&D digital transformation, ensuring alignment with broader enterprise goals.

Support digital adoption within R&D by training scientists on informatics tools and workflows.

Collaborate with IT and Data Governance teams to ensure structured data practices and platform interoperability.

Ensure digital systems such as ELNs, LIMS, PLM, and data lakes can share data in consistent formats, work together in real time, and allow seamless access and analysis.

Develop robust, maintainable Python code (or equivalent) to automate data preparation, model training, and results visualization.

Apply best practices in data governance and structured data management.

Utilize cloud-based systems, APIs, and scientific data infrastructure effectively.

Minimum Requirements

Advanced degree (Ph.D. or M.S.) in Chemistry, Polymer Science, Material Science, Chemical Engineering or a related field.

3+ years of relevant materials informatics / data science experience.

Proven expertise in data science, including statistical modeling, predictive analytics, and machine learning

Proficiency in Python or similar programming languages for data analysis and scientific computing.

Strong analytical skills with the ability to transform experimental data into actionable insights.

Excellent communication skills and ability to collaborate across scientific and technical disciplines.

Ability to travel up to 10% including internationally

Preferred Requirements

3+ years of industry experience in formulation or applied materials R&D.

Familiarity with digital R&D platforms such as ELN, LIMS, PLM, or data lakes.

This position is not eligible for work visa sponsorship. Applicants must have U.S. work authorization that does not now or in the future require H.B. Fuller sponsorship of a work visa to work for H.B. Fuller.

Pay is based on several factors including but not limited to education, work experience, certifications, and geographic location.

The salary for this role is $125,000 - $140,000.

In addition to your salary, H.B. Fuller offers employees a competitive total rewards package including comprehensive benefits, incentive and recognitions programs, health & wellness benefits, 401K contributions, paid time off and paid holidays. Eligibility may vary.