3M AI Data Science Research Specialist 

United States, Minnesota 

114705809

The Impact You’ll Make in this Role

Here, you will make an impact by:

• Write modular, testable code to implement real time data management methods, statistics, or architectural mechanisms.

• Work from whiteboards, specs, and conversations—not product docs.
• Extend an evolving codebase that supports structured learning experiments.
• Help organize internal data structure for system components (e.g., experimental runners, memory modules, parameter schedulers).
• Write structured logging and diagnostic tools to support hypothesis-driven debugging.
• Collaborate with other researchers who define the “what”; your job is to create the “how.”

Your Skills and Expertise:

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Ph.D. in Data Science, Computer Science, Software Engineering, or a science field (completed and verified prior to start).
• Five (5) years of experience in fundamental data science research in academic, private, public, government, or military environment.

Additional qualifications that could help you succeed even further in this role include:

• Strong fluency in coding, including object-oriented programming and functional idioms.
• Experience working in scientific, data-intensive, or ML-related environments.
• Comprehensive understanding of deep learning internals (embeddings, attention, optimization) and the ability to think critically about fundamental data structures and management.
• Experience implementing statistics in a research environment including detection theory, frequentist and Bayesian methods, and estimation theory.
• Working knowledge of neuro-symbolic AI systems.
• Comfortable building and modifying systems from scratch.
• Interest in systems that involve simulation, learning, or recursive dynamics.
• Familiarity with fundamental concepts of data parallelization and real time management in neural networks.
• Experience with visualization methods in structured probabilistic models.
• Able to work on a team where the problem is evolving, and code is shared.
• Curious, fast learner, solid communicator.
• Strong fluency in Python.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.