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Data Science Internship Jobs in Orange, CA (NOW HIRING)

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. Benefits * 7 PTO days * 5 Paid Sick ...

SwiftX Inc.

Operation Expert

Ontario, CA · On-site

Requirements • Bachelor's or Master's degree in Data Science, Computer Science, Logistics ... projects, internships, or entry-level roles is acceptable. Benefits * 7 PTO days * 5 Paid Sick ...

SwiftX Inc.

Operation Expert

Ontario, CA · On-site

Requirements • Bachelor's or Master's degree in Data Science, Computer Science, Logistics ... projects, internships, or entry-level roles is acceptable. Benefits * 7 PTO days * 5 Paid Sick ...

Tutorperini

Data and Analytics Intern

Los Angeles, CA

$20/hr

Interns will work approximately 30 hours per week. Interns may be assigned to one or more of the ... Currently pursuing a Bachelor's degree in Data Analytics, Computer Science, Mathematics, or a ...

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How much do data science internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for data science internship in Orange, CA is $24.04, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $26.20 per hour, depending on experience, location, and employer.

What is a Data Science Internship job?

A Data Science Internship is a temporary position designed to provide hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with large datasets, clean and preprocess data, build models, and generate insights to support business decisions. They may also collaborate with data scientists, engineers, and business teams to solve real-world problems. This role helps develop technical skills in Python, SQL, and data visualization while gaining industry exposure.

What are the key skills and qualifications needed to thrive in the Data Science Internship position, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

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

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.
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Data Science Internship jobs near you

Operation Expert

SwiftX Inc.

Ontario, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 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.

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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