Internship - 2025 PhD Data Science & Data Engineering Intern*

Job Description:

Internship - 2025 PhD Data Science & Data Engineering Intern

The role of PhD Data Science & Data Engineering Intern is intended to start in Summer 2025.

Collaborate with Innovative 3Mers Around the World

Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

An internship is a temporary position within 3M. Interns typically work a full-time schedule throughout a 10-12 week assignment. This position is limited to working 899 hours per service credit year. 3M provides eligible interns with a housing and transportation stipend in accordance with current policy.

This position provides an opportunity to transition from other private, public, government or military environments to a 3M career.

The Impact You’ll Make in this Role

As a Data Science and Data Engineering Intern, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

• Leveraging expertise to support development of new technologies, providing growth opportunities, in addition to supporting existing 3M products, businesses, and operations

• Implementing complex data engineering processes to support innovative data science solutions

• Optimizing algorithms for computational efficiency, speed, and usability

• Building capabilities with software tools e.g., Microsoft Azure ML and/or AWS ML, Python

• Collaborating with research teams in corporate research and business labs on building capabilities and applications that use his/her scientific and computational skills

• Supporting algorithm development and deploying solutions based on real-world data

Your Skills and Expertise 

To set you up for success in this role from day one, 3M is looking for candidates who must have the following qualifications:

• Currently pursuing a doctoral (PhD) degree in science or engineering from an accredited institution

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

• Currently pursuing a doctoral (PhD) degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Software Engineering, or related discipline from an accredited institution

• Experience with Microsoft Azure ML and/or AWS ML

• Experience in machine learning, deep learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

• Fluent in one or more programming languages (e.g. Python, MATLAB, C, C++, and/or R)

• Ability to apply object-oriented design and/or design patterns to software development

• Fluent in understanding, manipulating, cleansing, and visualizing complex data

• Experience working with complex, distributed Big Data workflows

• Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns

• Strong problem-solving skills

• Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available

• Leadership and networking skills

• Self-motivated and self-directed

• Excellent communication skills (oral, written and presentation)

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Responsibilities of this position may include direct and/or indirect physical or logical access to information, systems, technologies subjected to the regulations/compliance with U.S. Export Control Laws.
 
U.S. Export Control laws and U.S. Government Department of Defense contracts and sub-contracts impose certain restrictions on companies and their ability to share export-controlled and other technology and services with certain "non-U.S. persons" (persons who are not U.S. citizens or nationals, lawful permanent residents of the U.S., refugees, "Temporary Residents" (granted Amnesty or Special Agricultural Worker provisions), or persons granted asylum (but excluding persons in nonimmigrant status such as H-1B, L-1, F-1, etc.) or non-U.S. citizens.
 
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