Research Scientist Intern
Demography & Survey Science, Summer 2026
Posted on 10/27/2025

Meta
No salary listed
Menlo Park, CA, USA
In Person
The Demography and Survey Science team's mission is to improve the way we run surveys and make decisions both within and outside of Meta. We are looking for quantitative social scientists with experience in applied research in survey methodology, statistical inference, regression modeling, exploratory data analysis, and mathematical demography. With more than a million survey responses daily, you will help teams differentiate the signal from the noise, and provide them with the information and insights they need to make better, more informed product decisions. You will enjoy getting unique access to several of the richest data sets in the world, cutting edge technology and the ability to solve novel problems and provide innovative and methodologically rigorous research across the company.
The perfect candidate will have a background in a social science, quantitative or technical field and experience working with large data sets and relational databases. You are focused on results, a self-starter, and have superior analytical, computational, and communication skills.
Research Scientist Intern, Demography & Survey Science (Summer 2026) Responsibilities
- Apply your expertise in quantitative analysis, survey methodology, and the presentation of data to see beyond the numbers and understand how to effectively direct products to better serve their users
- Provide teams with usable measurement strategies and methodologies to meet their product and business decision needs
- Inform, influence, support, and execute research projects used throughout Facebook to drive product and company decisions
- Deliver insights and recommendations clearly to relevant audiences
Minimum Qualifications
- In process of obtaining, a PhD in statistics, political science, sociology, economics, demography, computational social sciences or related field, and experience with applied problems in survey research
- Experience in applying at least one of the following in your research: survey methodology (e.g., bias correction, sampling and design), quantitative research methods or statistical analysis, regression modeling, causal inference with a survey outcome, shrinkage and regularization, designing and analyzing longitudinal panel surveys, behavioral data analysis
- Experience with data analysis using tools such as R or Python and with SQL
- Experience initiating and driving research projects to completion with minimal guidance
- Experience communicating the results of analyses
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
- Intent to return to degree-program after the completion of the internship/co-op
- Experience with large data sets and distributed computing (Hive/Hadoop)
- Experience with Bayesian statistical models
- Experience with primary data collection
- Experience with field experiments, experimental design, missing data, survey sampling, and/or panel data
- Experience with observational causal inference (e.g., regression adjustment, matching, propensity score stratification), or quasi-experimental methods (e.g., instrumental variables, regression discontinuity, interrupted time series)
- Experience with bandit optimization, adaptive experimentation, and/or Gaussian processes
For those who live in or expect to work from California if hired for this position, please click here for additional information.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$error/year to $11,933/month + benefits
We apologize for the inconvenience, please be patient as we work to correct the issue.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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