Senior Digital R&D Scientist

Masco•Santa Ana, CA

10d•Hybrid

About The Position

The Senior Digital R&D Scientist combines scientific research with data-driven innovation to translate emerging technologies into practical R&D solutions. The role brings together coating and formulation science with computational modeling, advanced analytics, and digital innovation to accelerate product development and improve scientific decision-making. As part of the Digitalization & Formula Management team, this scientist transforms formulation data into actionable insights and advances the use of machine learning, laboratory automation, and modern digital approaches. The scientist partners with formulation scientists and cross-functional teams to design and optimize experiments, develop predictive models, analyze datasets, and create digital tools that improve product-development speed and effectiveness. The role also connects scientific data across R&D systems, translates technical challenges into digital solutions, and supports adoption of new technologies. It leads complex technical initiatives and delivers measurable improvements in R&D productivity, formulation performance, and decision-making.

Requirements

High school diploma required.
At least 5 years of experience in scientific R&D, coatings formulation, formulated products, computational science, or related R&D environments.
Strong understanding of formulation science, coatings raw materials, formulation principles, performance testing, and structure-property relationships.
Experience designing and optimizing experiments, analyzing complex technical datasets, and solving scientific and formulation challenges.
Demonstrated ability to lead technical projects, influence cross-functional teams, mentor scientists, and drive adoption of tools and methodologies.
Experience applying Design of Experiments (DOE), statistical analysis, predictive modeling, sequential learning, machine learning, Bayesian optimization, or related computational approaches to scientific problems.
Proficiency in Python, R, or comparable programming and data-analysis tools, with the ability to develop or adapt analytical workflows and models.
Strong communication, collaboration, teaching, and problem-solving skills, including the ability to translate complex findings into actionable recommendations.

Nice To Haves

Bachelor's degree in Chemistry, Chemical Engineering, Polymer Science, Materials Science, or a related scientific field.
Coatings experience.
Experience developing, evaluating, or supporting scientific data platforms, digital R&D workflows, laboratory automation, data integration, or AI-enabled research solutions.
Familiarity with Uncountable or similar systems.

Responsibilities

Develop and apply computational models and AI-enabled tools using formulation, raw-material, and performance data to identify relationships, predict outcomes, recommend experiments, and accelerate formulation optimization.
Partner with formulation scientists and cross-functional teams to design and optimize experiments, develop predictive models, and analyze datasets.
Create digital tools that improve the speed and effectiveness of product development.
Connect scientific data across R&D systems and translate technical challenges into digital solutions.
Help teams adopt new technologies, including machine learning and laboratory automation approaches.
Lead complex technical initiatives that improve R&D productivity, formulation performance, and scientific decision-making.
Mentor scientists and influence cross-functional teams in adopting new tools and methodologies.