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Data Scientist Intern, Product Analytics; Summer

Job in New York, New York County, New York, 10261, USA
Listing for: Meta Careers
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 48000 - 62000 USD Yearly USD 48000.00 62000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist Intern, Product Analytics (Summer 2027)
Location: New York

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, Whats App, 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.

Requirements and qualifications
  • Currently is in the process of obtaining a Bachelor’s and/or Master’s degree in Mathematics, Statistics, 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.
  • Curious, self-driven, analytical and excited to play with data.
  • Ability to thrive in a fast paced work environment.
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
  • Intent to return to a degree-program after the completion of the internship.
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