People Research Scientist, People Analytics

Facebook | Menlo Park, CA, United States

Posted Date 2/23/2019
Description 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 an experienced People Research Scientist or Data 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 two-year employment opportunity in Menlo Park, CA.

RESPONSIBILITIES

  • 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

MINIMUM QUALIFICATIONS

  • PhD, or MS with 2+ years of experience in a field emphasizing people research in organizations (e.g., Industrial/Organizational Psychology, Organizational Behavior, Economics, Management, Policy Analysis, etc. or related degree)

  • 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

  • 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 structured and unstructured data using tools such as R or Python. Experience using syntax in SPSS or STATA

  • Experience communicating technical results to technical and non-technical audiences

PREFERRED QUALIFICATIONS

  • 2+ years of experience with machine learning, text mining or modeling high-dimensional data

  • 3+ years 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 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

  • Experience managing and analyzing structured and unstructured data with R

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