Quantitative Scientist, People Analytics - Facebook
- Data Analytics
- Data Scientist
Facebook's mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we're building a different kind of company that helps billions of people around the world connect and share what matters most to them. 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 make the world more open and accessible. Connecting the world takes every one of us—and we're just getting started.
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.
Facebook is seeking a Data Scientist to join our people analytics team. People analytics uncovers data-driven insights to better attract, develop, motivate, and retain Facebook’s most important asset – our people. This role will perform research and analyses on a broad spectrum of people issues, including: employee attraction and selection, performance, growth, engagement, diversity, compensation, and retention. The ideal candidate will have a mix of quantitative and research design skills that are applicable to people research in organizations. This is a full-time role based in Menlo Park, CA.
- 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 diversity, HR and recruiting 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
- Clearly communicate statistical analyses, results, and implications to technical and non-technical audiences
- Demonstrate exceptional judgment and discretion when dealing with highly sensitive data
- MS/PhD in a quantitative field where the research/quantitative methods have direct applicability to people research in organizations (e.g., quantitative psychology, economics, political science, sociology, bioinformatics/biostatistics, computational neuroscience, operations research, statistics, data science, management science, etc.)
- Experience in 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, categorical analysis, etc.
- Experience in managing and analyzing structured and unstructured data using tools such as R or Python
- At least 1 year of hands-on research experience with problems in the social or biomedical sciences, or in high-tech industry.
- Experience in machine learning, text mining and experience modeling high-dimensional data.
- 3+ years experience with people research.
As part of our dedication to the diversity of our workforce, Facebook is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at firstname.lastname@example.org or you may call us at 1+650-308-7837.
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