Apply your expertise in people research, quantitative analysis, data science and data visualization to help Facebook recruit, select, grow, and retain talent
See beyond the data to identify solutions that will raise the bar for all things people-related
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 Facebook-specific data and outside research to help leaders understand people issues
Communicate statistical analyses and results, along with implications, to technical and non-technical audiences
Collaborate effectively with the Employment Law team on a variety of sensitive projects
Collaborate effectively with and mentor other team members
Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data
PhD with 3+ years of experience, or MS with 5+ 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 managing and analyzing structured and unstructured data using tools such as SQL, R or Python.
Experience using syntax in SPSS, STATA, etc.
Experience communicating technical results to technical and non-technical audiences.
3+ years of experience with machine learning, text mining/natural language processing (NLP) or modeling high-dimensional data
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.)
People management experience
Experience developing tools, conducting empirical research, practical implementation, knowledge of best practices in at least two of the following areas: employee engagement, performance management, diversity, compensation (e.g., pay equity), or retention
Experience conceiving, developing, running pilot tests, implementing, and continuously improving large-scale people processes
Experienced in survey design