Research Scientist, Demography and Survey Sciences
@ Meta

Menlo Park, CA
$170,000
On Site
Full Time
Posted 21 hours ago

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Job Details

About the Role

The Research Scientist, Demography and Survey Sciences at Meta leads end-to-end research projects. The role focuses on improving decision-making and impact measurement by collecting and analyzing rich survey and behavioral datasets.

Responsibilities

  • Develop and drive a research agenda from start to finish.
  • Collaborate with cross-functional teams to define key research questions.
  • Design and deploy effective research methodologies.
  • Innovate new approaches to solve complex problems.
  • Provide clear insights and actionable recommendations.

Minimum Qualifications

  • 2+ years post-graduation experience.
  • Master’s or Ph.D. in social sciences or quantitative fields.
  • Proficiency in R/Stata, SQL/Hive and data analysis software.
  • Expertise in statistical inference, survey methodology, regression modeling, and exploratory data analysis.
  • Strong communication skills with ability to present complex results.

Preferred Qualifications

  • Experience with large data sets and distributed computing.
  • Familiarity with Bayesian models and primary data collection.
  • Working knowledge of observational causal inference and quasi-experimental methods.
  • Exposure to qualitative research techniques.

About Meta

Meta builds technologies to connect people, enabling immersive experiences beyond screens. The company values innovation and is committed to diversity, inclusion, and providing reasonable accommodations.

Key skills/competency

  • Quantitative Research
  • Survey Methodology
  • Statistical Inference
  • Regression Modeling
  • Causal Inference
  • Data Analysis
  • Econometrics
  • Research Design
  • Large Datasets
  • Communication
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How to Get Hired at Meta

🎯 Tips for Getting Hired

  • Customize your resume: Highlight quantitative research skills and project leadership.
  • Showcase technical expertise: Detail experience with R, SQL and survey tools.
  • Prepare for case studies: Review research design and data analysis examples.
  • Demonstrate clear communication: Share examples of simplifying complex findings.

📝 Interview Preparation Advice

Technical Preparation

Review advanced regression and econometrics techniques.
Practice R and SQL coding exercises.
Study survey sampling and bias correction methods.
Analyze large datasets using Hive/Hadoop basics.

Behavioral Questions

Describe a project with conflicting research priorities.
Explain how you manage cross-team feedback.
Share experience communicating complex data findings.
Discuss a challenge you overcame in research.

Frequently Asked Questions