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Graduate Data Science Intern Jobs in Minnesota (NOW HIRING)

Varsity Tutors

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN

$14.75 - $19/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... graduate of undergrad or grad program in: Computer Science, Information Technology, Data Science ...

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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 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 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 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.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

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:

Graduate Data Science Intern jobs near you

Robotics - Data Science Intern / Co-op - 2026

Virginia, MN • On-site

SupportFinity™
IT Services • 51 - 200 employees
Learn more about SupportFinity™external

$80 - $120/hr

Other

Medical, Retirement

Posted 10 days ago

Job description

Robotics - Data Science Intern / Co-op - 2026

Are you passionate about data science? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

We're looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026. Our robotics teams are looking for students with a specialization in robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more.

By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various robotics teams at Amazon with different research focus. Internship positions are available for multiple locations, durations (3 to 6+ months), and year‑round start dates.

Responsibilities
  • Design and implement state‑of‑the‑art solutions for never‑before‑solved problems.
  • Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the customer experience.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight customers.
  • Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
  • Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
Team

Learn more about Amazon Robotics and our initiatives at Amazon Robotics and Amazon Million Robots AI Foundation Model.

Basic Qualifications
  • 18 years of age or older.
  • Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, or a related quantitative field.
  • Eligible for and available for a full‑time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co‑op.
  • At least one year of relevant academic research or industry experience within relevant science disciplines such as machine learning, applied statistics, computer vision, optimization, or related fields.
  • At least one year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication.
  • At least one year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB).
Preferred Qualifications
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Excellent communication skills with the ability to explain complex technical concepts to a non‑technical audience, while also efficiently interacting with deeply technical peers.
  • Understanding of data engineering and business intelligence.
  • Quantitative and qualitative data analysis experience with demonstrated impact on a business, a track record of creative problem‑solving, and the desire to create and build new processes.
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience with natural language processing (NLP) and working with large language models.
  • Experience with causal inference modeling.
  • Experience with A/B testing and data wrangling.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

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