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Data Science Fall Internship Jobs in Riverside, CA

SwiftX Inc.

Operation Expert

Ontario, CA

Requirements Bachelor's or Master's degree in Data Science, Computer Science, Logistics, Business ... projects, internships, or entry-level roles is acceptable. Must be bilingual in Mandarin and ...

CalPolyPomona

Lecturer AY - Political Science

Pomona, CA · On-site

... internship or thesis. The department also has a strong tradition in teaching its students cutting ... The Fall term begins in late August and ends in mid-December; the Spring term begins mid-January ...

SwiftX Inc.

Operation Expert

Ontario, CA · On-site

Requirements • Bachelor's or Master's degree in Data Science, Computer Science, Logistics ... internships, or entry-level roles is acceptable. • Must be bilingual in Mandarin and English ...

SwiftX Inc.

Operation Expert

Ontario, CA · On-site

Requirements • Bachelor's or Master's degree in Data Science, Computer Science, Logistics ... internships, or entry-level roles is acceptable. • Must be bilingual in Mandarin and English ...

Jj

Summer 2027 Finance Internship

Irvine, CA · On-site +1

$25.50 - $28/hr

... Accounting, Economics, Data Analytics, or another business-related field, with an expected ... Qualified applicants will be reviewed in early Fall 2026. The anticipated base pay for this ...

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Data Science Fall Internship information

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$43

How much do data science fall internship jobs pay per hour?

As of May 30, 2026, the average hourly pay for data science fall internship in Riverside, CA is $23.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Fall Intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Riverside, CA? For Data Science Fall Internship jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Riverside, CA look for? The top searched job categories for Data Science Fall Internship jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Science Fall Internship jobs? Cities near Riverside, CA with the most Data Science Fall Internship job openings:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Riverside, CA as of May 2026, with employment types broken down into 6% Internship, 61% Full Time, and 33% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $48,834 per year, or $23.5 per hour.

Operation Expert

SwiftX Inc.

Ontario, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Support day-to-day logistics operations through data analysis and operational reporting, while continuously learning how data is used to drive operational decisions.

Learn to build and improve analytical models related to workforce efficiency, hub performance, and site evaluation, with guidance from senior team members.

Participate in developing, testing, and maintaining data tools or scripts that support operational workflows such as parcel sorting, routing, and productivity tracking.

Collect, clean, and analyze logistics data (e.g., volume, on-time performance, labor hours) to identify trends, issues, and improvement opportunities.

Actively collaborate with operations and management teams to understand business processes and gradually translate operational needs into data-driven solutions.

Continuously improve understanding of logistics operations, data systems, and KPIs through hands-on work, feedback, and self-driven learning.

Assist in preparing dashboards, reports, and presentations to clearly communicate operational insights and performance metrics.

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Logistics, Business Analytics, or a related field.
3-5 years of experience in the last-mile delivery or logistics industry, with prior experience leading or supervising operational teams.

Comfortable working with data and willing to learn how to identify patterns, risks, and improvement opportunities.

Interest in logistics or warehouse operations; prior exposure is a plus but not required.

Ability to take feedback well, adapt quickly, and grow into more independent analytical responsibilities over time.

Foundational programming skills in Python, R, or SQL; experience from coursework, projects, internships, or entry-level roles is acceptable.

Must be bilingual in Mandarin and English

Benefits

  • 7 PTO days
  • 5 Paid Sick Leave Days
  • 6 Paid Holidays
  • 401K Matching
  • Medical insurance, Dental and Vision Insurance, STD/LTD
  • Salary: 60k - 85k

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