As the largest pureplay adhesives company in the world, H.B. Fuller’s (NYSE: FUL) innovative, functional coatings, adhesives and sealants enhance the quality, safety and performance of products people use every day. Founded in 1887, with 2024 revenue of $3.6 billion, our mission to Connect What Matters is brought to life by more than 7,500 global team members who collaborate with customers across more than 30 market segments in over 140 countries to develop highly specified solutions that enable customers to bring world-changing innovations to their end markets. Learn more at www.hbfuller.com.

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.

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.

H.B. Fuller is an Equal Employment Opportunity employer and proud to have created a collaborative culture where employees around the world are seen, heard, and respected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or marital status or status as a protected veteran, or any other legally protected classification.

H.B. Fuller does not accept unsolicited resumes from recruiters, employment agencies, or staffing firms. To conduct business with H.B. Fuller, a written service agreement must be executed by Human Resources prior to submitting any information relating to a potential candidate. Without a signed service agreement, H.B. Fuller shall not be obligated for payment of any fee or compensation.