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Benefits & Perks
•Flexible work arrangements
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Parental leave
•Team events and activities
•Professional development budget
•Flexible Hours
•Equity
•Healthcare
•Parental Leave
•Learning
Required Skills
Python
JavaScript
React
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 broad audiences in order to drive impactful decisions.
Applicants 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, demonstrated communication skills, and experience making research design choices that balance competing tradeoffs effectively.
Research Scientist, Demography and Survey Sciences Responsibilities:
- Help shape the research agenda and drive research projects from end-to-end
- Collaborate with product teams to define relevant questions about survey methodology and quantitative measurement
- Deploy appropriate quantitative methodologies to answer those questions
- Develop novel approaches where traditional methods won't do
- Provide teams with usable measurement strategies and methodologies to meet their product and business decision needs
- Deliver insights and recommendations clearly to relevant audiences
Minimum Qualifications:
- Experience communicating analyses and results to any audience
- Knowledge of data manipulation and analysis software and programming languages (R/Stata, SQL/Hive)
- Knowledge of quantitative and survey research methodologies (e.g., bias correction for surveys, survey sampling and design, regression modeling, causal inference with a survey outcome, shrinkage and regularization, designing and analyzing longitudinal panel surveys, behavioral data analysis)
- Demonstrated experience in designing original research to address complex questions
- Bachelor's degree with 22+ years of relevant experience in user experience, applied research, product research and/or development, Master's degree and 20+ years relevant experience, or a PhD and 15+ years of relevant experience
Preferred Qualifications:
- Expertise with weighting/bias correction for surveys and survey sampling
- Expertise with time series analysis and/or repeated cross-sectional analysis
- Experience with qualitative methods such as focus groups and in-depth interviewing
- Familiarity with R and SQL for statistical analysis
- Expertise in survey questionnaire and survey metric development
- Experience analyzing both cross-sectional and longitudinal survey data
- Experience working with online survey panel vendors (e.g., You Gov, Ipsos, Kantar, SSRS)
- Experience translating often abstract stakeholder requests into actionable research plans
- Experience translating survey analysis into actionable insights
- Familiarity with other aspects of survey methodology such as bias correction/weighting and survey sampling
- Generally solid quantitative research skills such as: linear regression, maximum likelihood estimation (e.g., logistic regression, probit), causal inference
- Experience with measurement error and psychometric methods (e.g., factor analysis, structural equation modeling, Item Response Theory modeling (IRT))
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 Whats App 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.
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 accommodations-ext@fb.com.
$206,000/year to $281,000/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.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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