Senior Data Scientist

3M•Maplewood, MN

16d•$145,676 - $178,049•Onsite

About The Position

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career. The Senior Data Scientist will identify, develop, and implement digital science capabilities that accelerate product and technology development across laboratory automation, Forge, and RepairStack, in that priority order. The role will apply data science, predictive modeling, simulation, machine learning, and practical data engineering to complex R&D and digital-product challenges. As a Senior Data Scientist, you will serve as a technical liaison among laboratory scientists, product developers, Corporate Research Laboratory modeling resources, digital technology teams, and data specialists. You will own pilots from opportunity identification through implementation, adoption, and outcome measurement.

Requirements

Bachelor’s degree or higher in science, math, or engineering (completed and verified prior to start)
Five (5) years of combined experience in data science, statistical modeling, machine learning, simulation, numerical methods, or related technical work, inclusive of qualifying graduate research in a private, public, government or military environment.
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned.
Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.

Nice To Haves

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.
Experience deploying models through cloud, MLOps, application, or workflow-integration approaches and driving adoption of digital tools and practices.
Demonstrated ability to lead technical workstreams, influence multidisciplinary teams, communicate complex results clearly, and translate technical outcomes into measurable R&D or business impact.

Responsibilities

Identifying and prioritizing digital science opportunities that accelerate innovation and improve laboratory productivity, with primary focus on laboratory automation and additional application to Forge and RepairStack.
Developing, validating, implementing, and improving predictive, statistical, machine-learning, and simulation models for formulation, process, application, performance, and other high-value technical challenges.
Defining laboratory data requirements and acquiring, cleaning, normalizing, and structuring sparse or unstructured data; partnering with digital and data teams to improve data quality, accessibility, usability, and reusable structures.
Partnering with product developers, laboratory scientists, subject-matter experts, Corporate Research Laboratory teams, and digital technology teams to translate technical challenges into scalable digital solutions and integrate models into usable workflows or applications.
Owning pilot delivery from opportunity identification through implementation and adoption, including scope, priorities, milestones, technical decisions, dependencies, validation, governance, stakeholder alignment, measurement of business impact, and contribution to the long-term Digital Lab roadmap.
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.