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Data Science Intern Jobs in Rancho Cucamonga, CA

As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world ... Collect, organize, and analyze operational, manufacturing, and quality-related data. * Participate ...

Posted today

Administrative Intern

Glendora, CA · On-site

$33K - $39K/yr

Performs research on departmental concerns; gathers and analyzes data; prepares and updates reports ... political science, public administration, or a related field. * Knowledge And Skills: Must have ...

Power BI Intern

Pomona, CA · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Science Teacher

San Bernardino, CA · On-site

$2.8K - $4.0K/wk

Deliver our educational program to ensure data-driven, results-based instruction for students in ... We'd love to hear from you if you are intern-eligible! Company Benefits and Perks: * We offer a ...

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Data Science Intern information

See Rancho Cucamonga, CA salary details

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How much do data science intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data science intern in Rancho Cucamonga, CA is $23.00, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $25.05 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Rancho Cucamonga, CA?

The most popular types of Data Science jobs in Rancho Cucamonga, CA are:

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For Data Science Intern jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Rancho Cucamonga, CA look for?

The top searched job categories for Data Science Intern jobs in Rancho Cucamonga, CA are:

What cities near Rancho Cucamonga, CA are hiring for Data Science Intern jobs?

Cities near Rancho Cucamonga, CA with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Rancho Cucamonga, CA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $47,835 per year, or $23 per hour.

Principal Data Scientist, Events (Mountain View)

Atlassian

Victorville, CA • On-site

Full-time

Re-posted 17 days ago


Job description

Your future team

You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.

Atlassian is hiring an experienced data science leader for our Enterprise go-to-market team focussed on Events. The Enterprise GTM team is a group that informs go-to-market programs and strategies to help Atlassian products unleash the potential of every Enterprise team. Our team focuses on the important moments within the Enterprise team's discovery of and journey with Atlassian products. We uncover and guide data-informed strategies across Atlassian's go-to-market organization.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $201,300 - $268,400

Zone B: $181,200 - $241,600

Zone C: $167,100 - $222,800

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

  • Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.
  • Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.
  • Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
  • Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.
  • Partner with cross-functional teams to inform, influence, and execute strategy decisions
  • Identify and measure the success of Events through forecasting and monitoring of key Marketing metrics to understand trends.
  • You will use data to shape Events strategy, quantify new opportunities, identify upcoming challenges, and ensure the campaigns we build bring value to people, businesses, and Atlassian.
  • You will use storytelling techniques to communicate insights broadly, including to company leadership teams.
  • Join a growing team of analysts and play an active role in team collaboration and culture.
  • 8+ Years of Experience in Data Science or related fields
  • Proficiency in SQL with a preference for well-architected data models, optimized query performance, and documented code AND another data manipulation programming language (e.g Python, R)
  • Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
  • Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
  • Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
  • A proven track record for crafting analysis into well-written content
  • Experience advising, presenting to and serving as a thought partner to senior executives
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