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Graduate Data Science Intern Jobs in Minnesota (NOW HIRING)

$15 - $19.75/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$15.75 - $21/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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Graduate Data Science Intern information

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What are popular job titles related to Graduate Data Science Intern jobs in Minnesota? For Graduate Data Science Intern jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Graduate Data Science Intern jobs in Minnesota look for? The top searched job categories for Graduate Data Science Intern jobs in Minnesota are:
What cities in Minnesota are hiring for Graduate Data Science Intern jobs? Cities in Minnesota with the most Graduate Data Science Intern job openings:

Adjunct Faculty: Statistics & Data Science 2026

Augsburg University

Minneapolis, MN โ€ข On-site

Part-time

Medical, Retirement

Re-posted 13 days ago


Job description

Company Description
Augsburg University offers more than 50 undergraduate majors and 11 graduate degrees to approximately 3,400 students of diverse backgrounds. The trademark of an Augsburg education is its emphasis on direct, personal experience. Guided by the faith and values of the Lutheran church, Augsburg educates students to be informed citizens, thoughtful stewards, critical thinkers, and responsible leaders.
Among the distinctive features of the university are its deep dedication to civic and community engagement, robust undergraduate research programs, and a strong belief in the integration of liberal arts and professional studies across all programs. The University's commitments to our urban context and the world beyond it are enhanced through the work of four signature centers: the Christensen Center for Vocation, the Center for Global Education and Experience, the Sabo Center for Democracy and Citizenship, and the Strommen Center for Meaningful Work.
Augsburg's Statement of Commitment to Equity
We believe that education is the key to healthy, meaningful and productive lives for individuals, as well as to the vibrancy of our democracy. Augsburg University is dedicated to achieving an educational experience free from the barriers of poverty, racism, and discrimination so that students can fully realize their unique gifts. Recognizing that higher education's democratic promise is compromised by systemic and systematic barriers to college access and completion, Augsburg is called to stand for equity in everything we do to fulfill our academic mission, serve our students and engage our fellow citizens.
Job Description
The Department of Mathematics, Statistics, and Computer Science at Augsburg University invites applications for adjunct faculty positions to teach Statistics & Data Science courses in 2026.
Responsibilities include teaching one or two sections of introductory or intermediate statistics courses in the Statistics and Data Science programs, such as DST 164 Introduction to Statistics (with R) or DST 334 Statistical Modeling.
This search will establish a "pool" of instructors if such openings occur during Spring, Summer, or Fall of 2026. Applicants may be selected from this pool on an as-needed basis throughout the year.
Available courses vary by term. Most classes are held during the day, 2-3 days per week.
In addition to teaching the class and grading student work, instructors are expected to respond to student questions through email, hold regularly scheduled office hours, reach out to students with course progress information, and communicate regularly with the course coordinator. A course syllabus with calendar, textbook and homework selection, sample activities and exams, and shared office space are typically provided.
Most classes are taught in-person on our Minneapolis campus. Each fall or spring semester course requires approximately 12-15 hours/week for 15-16 weeks.
Compensation & Benefits
Subject to the collective bargaining agreement with SEIU, Local 284
  • $5,800 to $6,175 per undergraduate course* for the 2025-26 academic year
  • Eligible for 2-4% retirement contribution match
  • Eligible for 1-1.5% retirement contribution match
  • Tuition discount for employees and dependents
  • Transit pass discount
  • Not eligible for healthcare benefits

*Course refers to a typical 4-credit undergraduate course that has met minimum enrollment requirements.
Please note that due to employment law and payroll regulations, we can only employ adjunct faculty who reside in Minnesota or Wisconsin. This restriction applies even to courses taught online.
Qualifications
Candidates should be committed to student engagement and student success with a diverse group of learners.
Preferred Qualifications
The ideal candidate will have some experience teaching at the post-secondary level or significant experience teaching at the secondary level.
Minimum Qualifications
Master's in Statistics or a related field.
Additional Information
For full consideration, candidates must submit the following information at the time of application:
  • Cover letter
  • Curriculum vita or Resume
  • Unofficial undergraduate and graduate transcripts

Your cover letter should
  • Highlight your experience or interest in teaching at the university level
  • Identify your general availability during the day and/or evenings; and
  • Indicate whether you are interested in in-person or synchronous online teaching (or either).

For specific inquiries about these adjunct opportunities, please email the Department Chair, John Zobitz (zobitz@augsburg.edu)
Among the distinctive features of the University are its deep dedication to civic and community engagement, robust undergraduate research programs, and a strong belief in the integration of liberal arts and professional studies across all programs. The University's commitment to the local neighborhood and the world is enhanced through the work of four signature centers: the Christensen Center for Vocation, the Center for Global Education, the Sabo Center for Citizenship and Learning, and the Strommen Center for Meaningful Work. Augsburg's commitment to diversity is reflected in the student body: for the past four years, students of color comprised nearly 40 percent of the incoming first-year class. With approximately 1,000 students living on campus, Augsburg engages students in a wide range of co-curricular activities, including NCAA Division III intercollegiate athletics. At both undergraduate and graduate levels, students actively engage in international travel and intercultural experiences that broaden their view of the world and deepen their engagement in it. Augsburg's main campus is located in the vibrant Cedar-Riverside neighborhood of Minneapolis, one of the most diverse areas in the Twin Cities. The University of Minnesota West Bank campus and one of the city's largest medical complexes are adjacent to Augsburg; the Mississippi River and the Seven Corners Theatre district are just a few blocks away. In addition to its Minneapolis campus, Augsburg has a vibrant branch campus in Rochester, the fastest growing city in Minnesota and headquarters of the Mayo Health System. In addition to these locations, Augsburg owns and operates international sites in Mexico, Guatemala, and Namibia. Augsburg is an equal opportunity employer and does not discriminate on the basis of gender, sexual orientation, marital status, gender identity, race, age, disability, religion, national origin, color or any other protected class. Successful candidates will have demonstrated abilities working in an academic community committed to intentional diversity. Candidates are thus encouraged to highlight skills and experiences that demonstrate intercultural competence.
Augsburg University is committed to providing equal employment opportunity to all applicants and employees regardless of their race, color, creed, religion, gender, age, national origin, familial status, disability, veteran status, sexual orientation, gender identity, gender expression, marital status or public assistance status, or any other characteristic protected by federal, state, or local law.
If you need a reasonable accommodation to complete our application process, please contact our Human Resources Department at phone number: 612-330-1058 or email: hr@augsburg.edu.