Research Scientist, Demography and Survey Science

Research Scientist, Demography and Survey Science
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Menlo Park, CA
The Demography and Survey Science team's mission is to improve the way we make decisions and measure impact both within and outside of Meta. We collect and analyze rich survey and behavioral datasets to understand new challenges, solve problems, and shape decisions. We are looking for quantitative social scientists with experience answering complex research questions to join us in this effort. Our interdisciplinary team includes those with expertise in statistical inference, survey methodology, causal inference and econometrics, regression modeling, exploratory data analysis, and mathematical demography, among other areas. In this role, you’ll own research end-to-end. This means you’ll navigate trade-offs while designing projects, proposing appropriate methodologies, analyzing data, and communicating results to diverse audiences in order to drive impactful decisions. Strong candidates may include social scientists, applied statisticians, or other applied researchers with expertise in quantitative research methods, experience working with large datasets and relational databases, and experience with survey methodology (e.g., bias correction, sampling). We are looking for candidates who can demonstrate methodological rigor, strong communication skills, and the ability to make research design choices that balance competing tradeoffs effectively.
Research Scientist, Demography and Survey Science Responsibilities
  • Develop a research agenda and drive research projects from end-to-end
  • Collaborate with cross-functional teams across the company to define relevant research questions
  • Design and deploy appropriate research methodologies to answer those questions
  • Develop innovate new approaches to resolve challenging problems
  • Provide teams with usable measurement strategies and methodologies to make better decisions
  • Deliver insights and recommendations clearly to relevant audiences
Minimum Qualifications
  • Bachelor's, Master’s, or PhD in social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questions
  • Skilled in at least three or more of the following skills: statistical inference, survey methodology, regression modeling, exploratory data analysis, and experimental design
  • Knowledge of statistical analysis and programming languages (such as R/Stata, Python, SQL/Hive)
  • Experience communicating analyses and results to diverse audiences
  • Experience initiating and driving research projects to completion with minimal guidance
  • Demonstrated experience in designing original research to address complex questions
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
  • Experience with large data sets and distributed computing (Hive/Hadoop)
  • Experience with Bayesian statistical models
  • Experience with primary data collection
  • Experience with survey sampling and weighting
  • 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)
  • Familiarity with qualitative research (e.g., focus groups, interviews, cognitive walkthroughs)
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.

$114,000/year to $171,000/year + bonus + equity + benefits

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 and Affirmative Action
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, 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 support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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, 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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, you may contact us at accommodations-ext@fb.com.
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