1

Summer Data Scientist Internship Jobs in Riverside, CA

We are searching for the best talent for J&J Technology 2026 Summer Internship. Purpose: Our ... Development, Data Science, Cybersecurity, Graphic Design or Mathematics. * Ability to work ...

Summer Intern

Irvine, CA · On-site

$23 - $25/hr

This internship offers hands-on experience in event planning, hospitality, logistics, guest ... Maintain organized event documents, spreadsheets, and tracking systems. * Assist with data entry ...

next page

Showing results 1-20

Summer Data Scientist Internship information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do summer data scientist internship jobs pay per year?

As of Sep 2, 2026, the average yearly pay for summer data scientist internship in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What is a summer data scientist internship?

A Summer Data Scientist Internship is a temporary, typically 10-12 week program offered during the summer months where students or recent graduates gain practical experience in data science. Interns work with real-world datasets, apply statistical analyses, and use programming languages like Python or R to solve business problems. These internships help participants develop technical and analytical skills while working alongside experienced data scientists. They also offer opportunities to network, learn industry best practices, and potentially secure a full-time position after graduation.

What are the key skills and qualifications needed to thrive as a summer data scientist intern?

To thrive as a Summer Data Scientist Intern, you typically need a solid foundation in statistics, programming (often Python or R), and data analysis, with coursework or experience in relevant fields. Familiarity with data visualization tools (such as Tableau or Matplotlib), machine learning libraries (like scikit-learn or TensorFlow), and database systems (SQL) is highly valued. Strong problem-solving, curiosity, and effective communication help interns interpret findings and collaborate on cross-functional teams. These skills are crucial for extracting actionable insights from data and contributing to impactful projects during the internship.

What types of projects and tasks can I expect to work on during a summer data scientist internship?

As a Summer Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, developing predictive models, and creating data visualizations to support business decisions. You may collaborate closely with experienced data scientists and cross-functional teams like engineering or product management. Interns often participate in real-world projects that contribute to ongoing company initiatives, allowing you to gain practical experience while learning new tools and techniques. The environment is typically fast-paced and supportive, providing mentorship and opportunities to present your work to stakeholders.

What is the difference between Summer Data Scientist Internship vs Summer Data Analyst Internship?

AspectSummer Data Scientist InternshipSummer Data Analyst Internship
Required SkillsProgramming (Python, R), statistical analysis, machine learningExcel, SQL, basic statistics, data visualization
Work EnvironmentResearch-focused, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Employer UsageTech companies, finance, healthcareRetail, marketing, consulting firms

Summer Data Scientist Internships typically involve advanced analytics, machine learning, and programming skills, focusing on predictive modeling. In contrast, Summer Data Analyst Internships emphasize data cleaning, reporting, and descriptive analysis. Both roles are valuable in data-driven industries but differ in technical complexity and focus areas.

What are popular job titles related to Summer Data Scientist Internship jobs in Riverside, CA?

For Summer Data Scientist Internship jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Summer Data Scientist Internship jobs in Riverside, CA look for?

The top searched job categories for Summer Data Scientist Internship jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Summer Data Scientist Internship jobs?

Cities near Riverside, CA with the most Summer Data Scientist Internship job openings:

Infographic showing various Summer Data Scientist Internship job openings in Riverside, CA as of June 2026, with employment types broken down into 3% Internship, 53% Full Time, 16% Part Time, 3% Temporary, 22% Contract, and 3% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Pomona, CA • On-site

$35/hr

Other

Posted 23 hours ago

Posted today


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

131st of 495 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.


What Stryker employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom