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Internship Political Data Science Jobs in Minnesota

Data Scientist

Plymouth, MN · On-site

$87K - $115K/yr

... Data Science, Computer Science, or a related field. * Minimum of 2 years of professional experience in a predictive analytics-focused role, excluding internships and academic coursework.

... Data Science, Computer Science, or a related field. * Minimum of 2 years of professional experience in a predictive analytics-focused role, excluding internships and academic coursework.

Showing results 21-40

Internship Political Data Science information

What is an internship in political data science?

An Internship in Political Data Science is a temporary, hands-on position where students or recent graduates work with data related to political science, campaigns, elections, or policy analysis. Interns typically assist with collecting, cleaning, and analyzing large datasets to uncover trends, inform strategies, or support research. This role often involves using statistical software, programming languages such as Python or R, and data visualization tools. Interns gain practical experience in applying data science methods to real-world political questions, while also learning about the intersection of technology and politics.

What can I expect in terms of collaboration and mentorship during a political data science internship?

During a Political Data Science internship, you will typically work closely with experienced data scientists, analysts, and sometimes campaign strategists. Most teams encourage interns to participate in regular meetings, share findings, and seek feedback on their work. Mentorship is a key component, with supervisors often providing guidance on project design, data analysis techniques, and best practices. You can expect to collaborate on real-world projects, such as voter modeling or sentiment analysis, while receiving support to help you develop both technical and professional skills.

What are the key skills and qualifications needed to thrive as an internship political data scientist, and why are they important?

To thrive as an Internship Political Data Scientist, you generally need a strong background in statistics, data analysis, and political science, often supported by coursework or a degree in related fields. Familiarity with statistical software (such as R or Python), data visualization tools, and databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with diverse teams. These skills are important to accurately analyze political trends, inform strategic decisions, and present findings clearly to stakeholders.

What is the difference between Internship Political Data Science vs Political Data Analyst?

AspectInternship Political Data SciencePolitical Data Analyst
CredentialsTypically students or recent graduates; may require coursework in political science and data analysisBachelor's or master's in political science, statistics, or related fields; some roles prefer experience
Work EnvironmentInternship programs, often in government agencies, NGOs, or research firmsFull-time roles in government, political campaigns, or consulting firms
Industry UsageEntry-level, training-focused positions for skill developmentProfessional roles involving data analysis, reporting, and strategic insights

In summary, Internship Political Data Science positions are entry-level, training-focused roles ideal for students or recent graduates, while Political Data Analysts are full-time professionals with more experience conducting data analysis and providing strategic insights in political settings.

What are the most commonly searched types of Political Data Science jobs in Minnesota?

The most popular types of Political Data Science jobs in Minnesota are:

What are popular job titles related to Internship Political Data Science jobs in Minnesota?

For Internship Political Data Science jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Internship Political Data Science jobs in Minnesota look for?

The top searched job categories for Internship Political Data Science jobs in Minnesota are:

What cities in Minnesota are hiring for Internship Political Data Science jobs?

Cities in Minnesota with the most Internship Political Data Science job openings:

Infographic showing various Internship Political Data Science job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Minneapolis, MN • On-site

$35/hr

Other

Posted 2 days ago

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

133rd of 496 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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