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Internship Data Science R Jobs in San Rafael, CA

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

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

Stripe

PhD Data Scientist, Intern

San Francisco, CA · On-site

Present your work to the Data Science team, partner teams, and fellow interns Who you are Minimum ... Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new ...

Asana

Senior Data Science Manager

San Francisco, CA · Hybrid

$258K - $293K/yr

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success ... e.g., Python, R). * You are comfortable with ambiguity and enjoy the challenge of balancing ...

Redolent, Inc

Data Scientist

San Bruno, CA

We are seeking an experienced data science individual contributor to enable deep insights and ... or R Build and enhance media mix models to connect the impact of marketing tactics and business ...

Adobe

Sr. Manager, People Data Science

San Francisco, CA

$161K - $303K/yr

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 ...

The Voleon Group

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 ...

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All JobsData Science R JobsInternship Data Science R JobsInternship Data Science R Jobs in San Rafael, CA

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 Jun 16, 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:
Internship Data Science R jobs near you
Co-Op, Data Science

Co-Op, Data Science

LiveRamp

San Francisco, CA • On-site

$31 - $49/hr

Full-time

Posted 26 days ago

Job description

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility-and have a good bit of fun along the way. We're always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
Get ready for the best learning experience of your life. You will receive the same orientation training as our full-time engineers, you will be matched with an individual mentor, and you will be committing production code by the end of your first week. In the course of your internship or Co-op, you will be tasked with one or more mission-critical projects and make meaningful contributions to LiveRamp's success. Also, if our previous interns are any guides, you will have a ton of fun in the process!
Internships are 12 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your internship.
Co-ops range between 12-24 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your Co-op.
We are seeking Co-Op candidates interested in applying data science to the ad-tech space.
Join our Insights Engineering team!
You will:
  • Use statistical and ML based techniques to reduce selection bias, build representative samples, and analyze randomized studies in the ad-tech space.
  • Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets.
  • Perform R&D work by prototyping new statistical and data modeling frameworks, translating prototypes into SQL and PySpark workflows, and then drive those prototypes into production.
  • Work in multiple cloud environments such as AWS and GCP, and help build, monitor, and troubleshoot automated modeling jobs using technologies such as Spark and BigQuery.
  • Troubleshoot internal and external models by understanding the key ingredients and underlying assumptions of the models.
  • Basic familiarity with prompt engineering and a proactive willingness to adopt new AI-driven productivity tools.

About you:
  • Possess strong mathematics, statistics and computer science skills that you are ready to turn into industry-ready skills
  • Pursuing or completed a degree in a Data Science related field (e.g. Mathematics, Statistics, Computer Science, Physics or other STEM degrees)
  • Excited to learn new data science techniques and technologies
  • Willing to dive in and learn by doing
  • Ready to work with others to solve hard problems
  • Possess a startup personality: smart, ethical, friendly, hard-working and proactive
  • Excited to work with products that have close interactions with customers

Preferred Skills:
  • Strong background in probability and statistics, experience implementing statistical models in SQL, and familiarity with fundamentals of randomized control trials.
  • Experience contributing to a mature Python-centric code base.
  • Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn).
  • Experience writing SQL and working with relational databases.
  • Understanding of software engineering fundamentals such as object oriented programming, computational complexity, version controlling with git, and experience in command line interfaces such as bash.
  • Knowledge of Big Data stacks such as Hadoop and Spark
  • Experience with AWS and/or GCP cloud providers
  • Experience with Agile software development

The approximate hourly base compensation range is $31.00 to $49.00. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
More about us:
LiveRamp's mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.

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