Meta (formerly Facebook) (501+ Employees, 34% 2 Yr Employee Growth Rate)

17% 1-Year Employee Growth Rate | 34% 2-Year Employee Growth Rate | LinkedIn | $16.1B Venture Funding

What Is Employee Growth Rate & Why Is It Important?

We’re looking for an experienced People Research Scientist to join our people analytics function. Our team uncovers data-driven insights to better attract, develop, motivate, and retain Meta’s most important asset – our people. This role will serve as an active partner with HR and functional leaders to perform research and analyses on a broad spectrum of future of work topics: remote worker health and growth, distributed team effectiveness and identifying best practices for hybrid work environments. You’ll also help develop and refine people processes to make an exceptional workplace even better. The ideal candidate will have strong quantitative skills, ability to form future-oriented exploratory research questions, an intellectually curious mindset and experience working across a variety of people areas.

People Research Scientist, Future of Work Responsibilities:

  • Apply your expertise in people research, quantitative analysis, data science and data visualization to help employees at Meta engage in the best work of their careers
  • See beyond the data to identify insights and solutions that will help inform Meta leaders on future of work decision-making on people, programs and products
  • Collaborate with data engineering and visualization engineers to access and manipulate data, explain data gathering requirements, and display results
  • Partner with the HR, recruiting and diversity teams on people projects to identify and clarify critical people issues, deeply understand our people processes, and analyze data to drive improvements
  • Bring together Meta-specific data and outside research to help leaders understand people issues related to the future of work
  • Communicate statistical analyses and results, along with implications, to technical and non-technical audiences
  • Collaborate effectively with a team of qualitative researchers (UX researchers) to generate hypotheses and co-develop future of work insights
  • Collaborate effectively with and mentor other team members
  • Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data

Minimum Qualifications:

  • PhD with 5+ years of experience, or MS with 7+ years of experience in a field emphasizing people research in organizations (e.g., Industrial/Organizational Psychology, Organizational Behavior, Labor Economics, Management, Policy Analysis, etc.)
  • 3+ years of experience conducting quantitative people research in an organization or consulting environment, including working with stakeholders to understand and clarify their people research needs, and communicating analyses to technical and non-technical audiences
  • Experience communicating technical results to both technical and non-technical audiences
  • Experience managing and analyzing structured and unstructured data using tools such as SQL, R or Python
  • Experienced in survey design & analysis

Preferred Qualifications:

  • 3+ years of experience applying multivariate statistical methods such as GLM, analysis of quasi-experimental research designs with non-equivalent groups (e.g., regression adjustment, matching, propensity score stratification), longitudinal analysis, classification, dimension reduction, clustering, hierarchical linear (random effects) modeling, etc., to people research problems in organizations
  • 5+ years of experience working internally (as opposed to consulting) in an organization with 500+ professional employees (e.g., high-tech, financial services, healthcare, biotech, etc.)
  • Experience developing tools, conducting empirical research, practical implementation, knowledge of best practices in future of work related topics
  • 3+ years experience designing research in organizational settings
  • 3+ years of experience with future-oriented research methodologies (i.e. scenario planning, environmental scanning, Delphi method)

Facebook is proud to be an Equal 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.Facebook 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 [email protected]

Tagged as: 501+ Employees, Hide US-Only Jobs, Venture Funded

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