... Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027 ... previous internships or other multi-person projects * Ability to learn new systems and form an ...
... Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027 ... previous internships or other multi-person projects * Ability to learn new systems and form an ...
... Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027 ... previous internships or other multi-person projects * Ability to learn new systems and form an ...
... Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027 ... previous internships or other multi-person projects * Ability to learn new systems and form an ...
PhD Data Scientist, Intern
South San Francisco, CA · On-site
$143K - $156K/yr
... interns 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 ...
New
PhD Data Scientist, Intern
South San Francisco, CA · On-site
$143K - $156K/yr
... interns 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 ...
New
Math Winter Internship information
See Orinda, CA salary details
$10.06 - $11.53
2% of jobs
$11.53 - $13
2% of jobs
$13 - $14.46
3% of jobs
$14.46 - $15.93
17% of jobs
$16.02 is the 25th percentile. Wages below this are outliers.
$15.93 - $17.40
18% of jobs
The median wage is $18.18 / hr.
$17.40 - $18.87
16% of jobs
$18.87 - $20.33
11% of jobs
$20.80 is the 75th percentile. Wages above this are outliers.
$20.33 - $21.80
20% of jobs
$21.80 - $23.27
6% of jobs
$23.27 - $24.74
3% of jobs
$24.74 - $26.21
2% of jobs
$10
$19
$26
How much do math winter internship jobs pay per hour?
As of May 28, 2026, the average hourly pay for math winter internship in Orinda, CA is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.15 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Math Winter Intern, and why are they important?
To thrive as a Math Winter Intern, you need strong analytical skills, a solid grasp of mathematical concepts, and enrollment in or recent completion of a relevant degree program such as mathematics, statistics, or engineering. Familiarity with tools like Excel, MATLAB, R, or Python is often required to analyze data and solve quantitative problems. Effective communication, attention to detail, and a proactive learning attitude help interns collaborate with teams and present findings clearly. These skills ensure that interns can contribute meaningfully to projects, adapt to new challenges, and maximize their learning experience.
What types of projects do Math Winter Interns typically work on during their internship?
Math Winter Interns often engage in projects that involve data analysis, mathematical modeling, or research to support ongoing initiatives within the organization. You might find yourself working with real-world datasets, developing algorithms, or assisting in the preparation of reports and presentations for internal or client use. Collaboration with mentors and team members is common, providing exposure to practical applications of mathematical concepts and valuable industry experience. This hands-on approach not only refines analytical skills but also helps interns understand the broader impact of their work in a professional setting.
What is a Math Winter Internship?
A Math Winter Internship is a short-term, intensive program usually offered during the winter break, allowing students or recent graduates to gain practical experience in mathematics-related fields. Interns may work on real-world projects involving data analysis, research, or mathematical modeling under the supervision of professionals. These internships can take place in various settings, such as universities, research institutions, finance companies, or tech firms. The experience helps participants build relevant skills, expand their professional network, and explore potential career paths in mathematics.
What is the difference between Math Winter Internship vs Data Analyst Intern?
| Aspect | Math Winter Internship | Data Analyst Intern |
|---|---|---|
| Required Credentials | Mathematics or related field coursework | Statistics, Mathematics, or Data Science background |
| Work Environment | Academic, research, or corporate settings during winter | Corporate, tech, or finance industries, often in office settings |
| Employer & Industry Usage | Universities, research labs, companies offering winter programs | Businesses analyzing data, often with summer or winter internships |
Both roles involve quantitative skills, but a Math Winter Internship focuses on mathematical research or coursework, while a Data Analyst Intern emphasizes data analysis and interpretation in a business context. The choice depends on your career goals and industry interests.
What cities near Orinda, CA are hiring for Math Winter Internship jobs? Cities near Orinda, CA with the most Math Winter Internship job openings:
Other
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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:
Minimum requirements
We're looking for someone who has:
You also likely have:
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
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
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
About Stripe
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2010