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R Data Scientist Intern Jobs (NOW HIRING)

Stripe

PhD Data Scientist, Intern

San Francisco, CA · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new ...

Triple Ring Technologies

Data Scientist Intern

Boston, MA · On-site

$20 - $30/hr

The internship will conclude successfully with the intern having learning modern best practices of ... D. in Data Science, Computer Science, Physics, or equivalent. * Collaborative spirit with keen ...

Tech-Marine Business Inc

Sr. Data Scientist

Washington, DC · On-site

$100K - $120K/yr

TMB has an exciting opportunity for a S r. Data Scientist to provide support to a U.S. Navy program office. Responsibilities * The Sr. Data Scientist will support data analytics activities for the ...

Ad hoc Research

Data Science Intern

Plano, TX · On-site

Position Title: Data Science Intern Position Overview: We are seeking talented and driven ... Strong foundation in programming languages such as Python, R, SQL, or similar. Basic understanding ...

Waymo

Data Scientist

Mountain View, CA · Hybrid

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

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How much do r data scientist intern jobs pay per year?

As of May 28, 2026, the average yearly pay for r data scientist intern in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between R Data Scientist Intern vs R Data Analyst Intern?

AspectR Data Scientist InternR Data Analyst Intern
Required SkillsStatistical analysis, R programming, machine learning basicsData visualization, R programming, basic statistical skills
Work EnvironmentResearch-focused, predictive modeling, data science projectsReporting, data cleaning, descriptive analysis
Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare

Both roles often require proficiency in R and foundational statistical knowledge. The R Data Scientist Intern typically engages in predictive modeling and advanced analytics, while the R Data Analyst Intern focuses on data cleaning, visualization, and reporting. The roles differ mainly in complexity and scope but share similar environments and skill requirements.

What cities are hiring for R Data Scientist Intern jobs? Cities with the most R Data Scientist Intern job openings:
What are the most commonly searched types of R Data Scientist jobs? The most popular types of R Data Scientist jobs are:
What states have the most R Data Scientist Intern jobs? States with the most job openings for R Data Scientist Intern jobs include:
R Data Scientist Intern jobs near you
PhD Data Scientist, Intern

PhD Data Scientist, Intern

Stripe

San Francisco, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you'll do
About the internship experience
Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.
Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.
We're not just focused on your immediate contributions; we're invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.
Responsibilities
You will:
  • Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
  • Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
  • Influence business actions and strategy by developing actionable insights through metrics and dashboards.
  • Drive the collection of new data and the refinement of existing data sources.
  • Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
  • Present your work to the Data Science team, partner teams, and fellow interns
Who you are
Minimum requirements
We're looking for someone who has:
  • Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
  • Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
  • Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
  • Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualifications
You also likely have:
  • Experience writing and debugging data pipelines
  • Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
  • Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

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