Description
As a Senior Data Scientist at 3M, you will identify, develop, and implement digital science capabilities that accelerate product and technology development across laboratory automation, Forge, and RepairStack.
You will apply data science, predictive modeling, simulation, machine learning, and practical data engineering to complex R&D and digital-product challenges.
Key responsibilities include:
- Identifying and prioritizing digital science opportunities that accelerate innovation and improve laboratory productivity
- Developing, validating, implementing, and improving predictive, statistical, machine-learning, and simulation models
- Defining laboratory data requirements and acquiring, cleaning, normalizing, and structuring sparse or unstructured data
- Partnering with product developers, laboratory scientists, and digital technology teams to translate technical challenges into scalable digital solutions
- Owning pilot delivery from opportunity identification through implementation and adoption
Requirements:
- 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
Additional qualifications that could help you succeed:
- Master's degree or Ph.D. in a relevant technical discipline
- Experience with design of experiments, formulation or materials data, laboratory data systems, historians, connected instruments, or R&D data workflows
- Experience building data pipelines or model-ready datasets and applying data-governance, metadata, lineage, security, and reusable-data-model practices
The expected compensation range for this position is $145,676 - $178,049, which includes base pay plus variable incentive pay, if eligible.
3M offers many programs to help you live your best life – both physically and financially, including Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences, and Retirement Benefits.