For current studentsJob title: Data Scientist Intern, Product Analytics (Summer 2027)
Work authorization
Must already have the right to workMust obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Currently is in the process of obtaining a Bachelor’s and/or Master’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Ability to thrive in a fast paced work environment
9. Ability to thrive in a fast paced work environment
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Education & alternatives
Minimum Qualifications:
6. Currently is in the process of obtaining a Bachelor’s and/or Master’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
7. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Pay
$118K–$194K is typical
$118K$194K
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Time since we first saw it
Day 26
757
Similar jobs usually come down between day 7 and day 57.
Well past Meta’s usual: its jobs come down by about day 8.
From 10,789 similar postings that came down, and 331 of Meta’s. Coming down is not always a hire.
Meta is hiring
901 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Python
R
SQL
Where the posting names them
9. Ability to thrive in a fast paced work environment
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Intent to return to a degree-program after the completion of the internship
Yes. We’ve followed one other Data Scientist Intern, Product Analytics (Summer 2027) job there since October 2026. It is still up.
Menlo ParkStill up after 27 days, first seen Oct 14
This jobUp 27 days so far, first seen Oct 14
Oct 14Today
About Meta
People
About 78,865 in 2025, up 6% from the year before.Annual report (SEC Form 10-K)
Company
Listed as META.
H-1B visas
3,530 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 3,792 people. The latest was filed May 22, 2026.State WARN notices
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
**Summary:**
As a Data Scientist Intern at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. Analytics: You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories.
**Required Skills:**
Data Scientist Intern, Product Analytics (Summer 2027) Responsibilities:
1. Perform large-scale data analysis to extract useful business insights.
2. Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
3. Work closely with a Product Manager and Engineering team to proactively create rules and manage decisions.
4. Classify leads so that the teams work on the most valuable cases.
5. Suggest improvements in the tools and techniques to help scale the team and/or build 0->1 convictions on new initiatives. Model solutions around what delivers long-run user value to our users
**Minimum Qualifications:**
Minimum Qualifications:
6. Currently is in the process of obtaining a Bachelor’s and/or Master’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
7. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
8. Curious, self-driven, analytical and excited to play with data
9. Ability to thrive in a fast paced work environment
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Intent to return to a degree-program after the completion of the internship
**Public Compensation:**
$7,188/month to $12,100/month + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay
**Public Compensation:**
$7,188/month to $12,100/month + benefits
**Industry:** Internet
Location & working pattern
New York, NY
Working pattern and location restrictions need checking in the full posting.
Work authorization
6. Currently is in the process of obtaining a Bachelor’s and/or Master’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
7. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**