Intro:
Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.
Summary:
At Facebook, we pride ourselves on making data-informed decisions. This includes not only decisions we make about our platform, which serves over 1 billion users, but also how we learn more about our most valuable asset – our people. For instance, we use data to understand how to hire top talent, to ensure our people are engaged, and to support diversity.We’re looking for a People Research Scientist to join our people analytics function. Our People Analytics Tech Pod team uncovers data-driven insights to better attract, develop, motivate, and retain Facebook’s most important asset – our people. In this role, you will perform research, manipulate and analyze data in R on a broad spectrum of people issues: to optimize employee selection, performance, growth, engagement, diversity and inclusion, and retention for Facebook’s technical workforce. 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 one-year employment opportunity.
Required Skills:
Apply your expertise in people research, quantitative analysis, and data visualization to help Facebook recruit, select, grow, and retain talent
Communicate statistical analyses and results, along with implications for employees and Facebook as a whole, to technical and non-technical audiences
See beyond the data to identify solutions that will raise the bar for all things people-related
Help 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
Collaborate effectively with other team members
Demonstrate exceptional judgment and discretion when dealing with sensitive people data
Minimum Qualifications:
PhD, or MS in a field emphasizing people research in organizations (e.g., Industrial/Organizational Psychology, Organizational Behavior, Economics, Management, Public Health, Sociology, Policy Analysis, Education, Political Science, etc.). Candidates from adjacent disciplines will also be considered
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
Experience managing and analyzing structured and unstructured data using tools such as R or Python, and willingness to learn R and SQL
Effectively communicates technical results to technical and non-technical audiences
Preferred Qualifications:
1+ 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 technical analysis to non-technical audiences)
Experienced working with survey and people data
Experience developing tools, conducting empirical research, practical implementation, knowledge of best practices in at least three of the following areas: employee selection, employee engagement, career growth, performance management, diversity, or retention
Industry: Internet
Equal Opportunity: 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].
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