below marketmost similar roles pay hereabove market
This role pays more than
63%
of similar roles. Most pay
$132,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$183k
versus about
$173k
for comparable roles.
Based on 240 similar postings.
Employer
About 3M
3M is a diversified technology and manufacturing conglomerate producing thousands of products across healthcare, safety, electronics, transportation, and consumer goods. Industry: Diversified Manufacturing
3M currently has
37 open roles
on FindRole.
Listed pay typically runs
$145,676–$178,049
across 24 roles with salary data.
The Digital Science Development Specialist joins the AAD laboratories to identify, develop, and implement digital science capabilities that accelerate product and technology development. As the technical owner of the Digital Lab pilot, the specialist connects scientists, product developers, and data specialists to translate R&D challenges into scalable data-driven solutions. Key responsibilities include leading initiatives in predictive modeling, lab automation, and AI-enabled workflows while defining laboratory data requirements to improve quality and accessibility. The role requires expertise in modeling and simulation, DOE, statistical analysis, data analytics, machine learning, and advanced analytics. The position focuses on turning laboratory data into actionable insights for formulation, process, application, and performance-related challenges, ultimately driving the adoption of digital tools and best practices across multiple technology platforms to improve R&D efficiency.
Identify and prioritize digital science opportunities to accelerate innovation and improve laboratory productivity.
Translate technical R&D challenges into scalable data-driven solutions and digital capabilities.
Deploy predictive modeling, simulation, machine learning, and advanced analytics capabilities.
Lead pilot projects involving AI, digital science, and data-driven experimentation.
Define laboratory data requirements to improve data quality, accessibility, and usability.
Support the development of predictive models for formulation, process, application, and performance challenges.
Drive the adoption of digital tools, workflows, and best practices across laboratory organizations.
Measure and communicate the business impact of digital science initiatives.
What we're looking for
Bachelor's Degree in Materials Science, Chemical Engineering, Chemistry, Mechanical Engineering, Data Science, Computer Science, Statistics, or a related technical field.
Seven years of experience working across multidisciplinary R&D, modeling, digital, and/or business teams.
Hands-on experience in modeling and simulation, DOE, statistical analysis, data analytics, predictive modeling, AI, or machine learning.
Master's or Ph.D. in Materials Science, Chemical Engineering, Chemistry, Mechanical Engineering, Data Science, Computer Science, Statistics, or a related technical field (preferred).
Experience in product development, R&D, digital transformation, or laboratory automation (preferred).
Ability to translate scientific and technical challenges into practical digital solutions (preferred).
Strong project leadership, communication, collaboration, and influencing skills (preferred).
Data Science
Machine Learning
Predictive Modeling
Statistical Modeling
Simulation
Data Engineering
MLOps
Numerical Methods
Design of Experiments
Data Pipelines
data-governance
data, lineage
Laboratory Data Systems