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Data Science Intern

Art Of Problem Solving

San Diego, CA · HybridFull-time$30/hrPosted todayStill listed today

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At a glance

Compensation
$30/hr
Location
San Diego, CAHybrid
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data Science Intern will complete a scoped project with guidance from a data scientist mentor, using data to build and evaluate models, analyze experiments, and present findings. The role is based at AoPS headquarters in San Diego during summer 2027. Candidates may come from any field and should have hands-on experience with Python and SQL, statistical methods, careful data reasoning, and communication of technical results.

Skills & qualifications

RequiredNice to have

Skills

Python, nice to havePandas, nice to havePolars, nice to haveScikit-Learn, nice to haveMatplotlib, nice to haveSQL, nice to haveStatistics, nice to haveHypothesis Testing, nice to haveRegression, nice to haveData Reasoning, nice to haveWritten Communication, nice to haveVerbal Communication, nice to haveTechnical Communication, nice to haveConstructive Feedback, nice to have

Qualifications

Bachelor's or Graduate Degree in Progress, nice to haveHands-on Data Experience, nice to haveUS Work Authorization, requiredSuccessful Background Check, required

Benefits

401(k) Match
Paid Time Off

Full job description

As a Data Science Intern, you will do real data science work in support of our mission to discover, inspire, and train the great problem solvers of the next generation. Paired with a data scientist mentor, you will frame questions, build and evaluate models, analyze experiments, and present findings to the teams who act on them.

We hire for data sense, not a specific major. Strong data scientists come from economics, psychology, education, linguistics, and the humanities as well as math and computer science. What matters is that you can work with data in SQL and Python, reason carefully about what it does and does not tell you, and explain what you found.

The Data Science Intern will:

  • Own a scoped data science project from question to recommendation under the guidance of experienced data scientists

  • Use SQL and Python to gather, clean, explore, and validate data

  • Build and evaluate statistical and machine learning models, with attention to their assumptions and limitations

  • Analyze and separate real effects from noise and bias

  • Write reproducible, documented code and participate in code reviews

  • Present findings to the Data team and to stakeholders through clear visualizations and recommendations

  • Use AI tools to accelerate your work while critically evaluating their output

  • Complete other tasks and responsibilities, as assigned

The ideal candidate has:

  • A bachelor's or graduate degree in progress in any field

  • Hands-on experience using Python (e.g. pandas, polars, scikit-learn, matplotlib) and SQL to work with data, through coursework, research, or personal projects

  • Experience in statistics, including hypothesis testing and regression

  • Strong data sense: you ask where data came from, what it leaves out, and whether it actually answers the question

  • Strong written and verbal communication skills, including the ability to explain technical results to non-technical audiences and to give and receive constructive feedback

Why Join AoPS:

This is a 40-hour per week paid internship with a pay rate of $30 / hour. The internship will take place in summer 2027 and will be based at our headquarters in San Diego, CA. Most of our interns are with us for 10 - 12 weeks, starting in late May or early June. Here are some things you can look forward to:

  • Impact: Do real data science on questions that shape how the next generation of problem solvers learns

  • Mentorship: Weekly 1:1s with a data scientist mentor

  • Flexibility: Casual work environment with a hybrid work week and flexible scheduling

  • Future Planning: 401K with company match

  • Quality of Life: Paid Sick Leave

  • Ease of Transition: Relocation bonus (if currently located outside of San Diego)

Background Check:

Please note that employment is contingent on the successful completion of a background check.

Work Authorization:

Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B.

About AoPS:

Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country’s top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.

How this job compares

Set against the 1,974 open Data Science jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This posting$30/hr
  • California median$52–61/hr32 hourly ranges
  • US median$35–46/hr133 hourly ranges

This rate, $30/hr, is 47% below the California median midpoint ($57/hr) — in the lowest quarter of Data Science hourly ranges in California.

Openings
Olive Jobs lists 332 open Data Science jobs in California and 1,974 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 10 years (1,627 postings).
Education
770 of the 1,974 open Data Science jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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