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Internship Data Science R Jobs in San Rafael, CA

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ... Strong fluency in SQL, R, Python, and/or modern data tooling, with the ability to guide teams on ...

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer ... internships * Experience developing in a production-facing environment and familiarity with ...

Data Scientist

San Francisco, CA · On-site +1

$171K - $230K/yr

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven ... Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data ...

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

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Internship Data Science R information

See San Rafael, CA salary details

$13

$25

$46

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

As of Jul 13, 2026, the average hourly pay for internship data science r in San Rafael, CA is $25.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $27.31 per hour, depending on experience, location, and employer.

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

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

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

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What cities near San Rafael, CA are hiring for Internship Data Science R jobs? Cities near San Rafael, CA with the most Internship Data Science R job openings:
Data Science intern

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Posted 14 days ago


Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.