We’re looking for an experienced people research scientist-practitioner to join our people analytics function. Our team uncovers data-driven insights to better attract, develop, motivate, and retain Facebook’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 people issues: to optimize employee attraction and selection, performance, growth, engagement, diversity, compensation, and retention. You’ll also help develop and refine people processes to make an exceptional workplace even better. The ideal candidate will have strong quantitative skills and experience working across a variety of people areas. This is a full-time role based in Menlo Park, CA.
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Apply your expertise in people research, quantitative analysis, 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
Minimum Qualifications
MS/PhD in a field emphasizing people research in organizations (e.g., Industrial/Organizational Psychology, Organizational Behavior, Economics, Management, etc…)
3+ years of experience conducting quantitative people research in an organization or consulting environment, including working with key stakeholders to understand and clarify their people research needs, and communicating analyses to technical and non-technical audiences.
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
Experience managing and analyzing complex, structured and unstructured data using tools such as R or Python
Preferred Qualifications
2+ years of experience with machine learning, text mining or modeling high-dimensional data
3+ years 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 at least three of the following areas: employee selection, employee engagement, performance management, diversity, or retention.
Experience conceiving, developing, running pilot tests, implementing, and continuously improving large-scale people processes
Experienced in survey design
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