below marketmost similar roles pay hereabove market
This role pays less than
53%
of similar roles. Most pay
$126,800–$184,900
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$156k
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 Senior Data Scientist will join a global team to identify, develop, and implement digital science capabilities that accelerate product and technology development. This role focuses on laboratory automation, Forge, and RepairStack, where the individual will apply data science, predictive modeling, simulation, machine learning, and practical data engineering to complex R&D and digital-product challenges. Key responsibilities include developing and validating statistical and machine-learning models for formulation and process challenges, defining laboratory data requirements, and owning pilots from opportunity identification through implementation. The candidate must possess skills in numerical methods, design of experiments, and building data pipelines. They will serve as a technical liaison to translate technical challenges into scalable digital solutions, integrating models into usable workflows while managing data governance, metadata, and lineage for sparse or unstructured data.
What does a Data Scientist earn?
Median $173200 from 342 postings across 62 companies.
Identify and prioritize digital science opportunities to accelerate laboratory automation and product development.
Develop and validate predictive, statistical, machine-learning, and simulation models for technical R&D challenges.
Define data requirements and perform cleaning, normalization, and structuring of sparse or unstructured laboratory data.
Translate complex technical challenges into scalable digital solutions and integrate models into usable workflows.
Own pilot projects from initial opportunity identification through implementation, adoption, and outcome measurement.
Serve as a technical liaison between laboratory scientists, product developers, and digital technology teams.
Improve data quality, accessibility, and usability by partnering with corporate digital and data teams.
What we're looking for
Bachelor’s degree or higher in science, math, or engineering.
Five years of combined experience in data science, statistical modeling, machine learning, simulation, numerical methods, or related technical work.
Master’s degree or Ph.D. in a relevant technical discipline (preferred).
Experience with design of experiments, formulation or materials data, laboratory data systems, historians, connected instruments, or R&D data workflows (preferred).
Experience building data pipelines, model-ready datasets, and applying data-governance, metadata, lineage, security, and reusable-data-model practices (preferred).
Experience deploying models through cloud, MLOps, application, or workflow-integration approaches and driving adoption of digital tools (preferred).
Demonstrated ability to lead technical workstreams, influence multidisciplinary teams, and translate technical outcomes into measurable R&D or business impact (preferred).
Predictive Modeling
Machine Learning
AI
Data Analytics
Statistical Analysis
DOE
Laboratory Automation
Digital Transformation
Simulation
Data Science
R&D
Advanced Analytics
Machine Learning
Generative AI
Deep Learning
Reinforcement Learning
Computer Vision
Python
Spark
Scala
R
TensorFlow
scikit learn
Statistics
Recommendation Systems
Conversational Agents
WCAG) 2.2 AA