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Data Scientist Intern, Product Analytics (Summer 2027)

Meta

New York, NYInternship$7,188–12,100/moSeen 2w agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$7,188–12,100/mo
Location
New York, NY
Role Type
Internship
Schedule
Internship
Work Authorization
Not specified

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

Job overview

The Data Scientist Intern will use data analysis and product intuition to address product and business problems across Meta’s family of applications. The intern will collaborate with cross-functional partners, inform product strategy and investment decisions, and use analytical approaches to test hypotheses. The role focuses on extracting insights, shaping product development, and communicating data-driven recommendations.

Skills & qualifications

RequiredNice to have

Skills

Large-Scale Data AnalysisBusiness InsightsCross-Functional CommunicationData QueryingSQLScriptingPythonStatistical SoftwareRCuriositySelf-DirectionAnalytical ThinkingAdaptability

Qualifications

Bachelor's or Master's in Mathematics, Statistics, or Related Field or Equivalent ExperienceWork AuthorizationReturn to Degree Program

Full job description

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:

  1. 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

  2. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

  1. Curious, self-driven, analytical and excited to play with data

  2. Ability to thrive in a fast paced work environment

  3. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

  4. 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 [email protected].

How this job compares

Set against the 1,740 open Data Science jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$7,188–12,100/mo
  • New York median$160–245K/yr144 salary ranges
  • US median$25–40/hr104 hourly ranges
Openings
Olive Jobs lists 176 open Data Science jobs in New York and 1,740 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 8 years (1,400 postings).
Education
889 of the 1,740 open Data Science jobs (51%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 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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