At Facebook, we pride ourselves on making data-informed decisions. This includes not only decisions we make about our platform, which serves over 2 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. The person in this role will assist in creating a best-in-class enterprise scale ‘sense and respond’ program through analysis of unstructured text available through Facebook’s various surveys and internal sources. They will work with key partners, including Human Resources and Internal Communications, and other leaders to provide an ongoing stream of actionable insights to improve the employee experience, drive operational improvements and inform strategy. The ideal candidate will have strong quantitative skills and experience communicating findings and recommendations to technical and non-technical decision-makers.

People Research Scientist, Natural Language Processing (NLP) Responsibilities

• Perform natural language processing (NLP) on key people related themes, including major internal moments and announcements to provide a real-time understanding of the employee experience

• Conduct predictive modeling of key outcomes of interest (e.g. employee engagement, culture, optimism) using survey data as ground truth

• Combine various data sources through privacy preserving mechanisms to provide insight

• Collaborate with data engineering and visualization engineers to access and manage data, explain data gathering requirements, and visualize results

• Communicate statistical analyses and results, along with implications, to technical and non-technical audiences

• Collaborate effectively with other team members

• Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data

Minimum Qualifications

• PhD with 3+ years of experience, or MS with 5+ years of experience in a field emphasizing quantitative analysis (e.g., Computer Science, Statistics, Math, Industrial/Organizational Psychology, Human Computer Interaction etc.).

• 3+ years of experience conducting quantitative research in an organization or consulting environment, including working with stakeholders to understand and clarify their research needs, and communicating analyses to technical and non-technical audiences.

• Experience analyzing structured and unstructured data using languages such as SQL, R or Python.

• Knowledge of algorithms for data mining, machine learning, and NLP and with experience learning new techniques and tools.

• Experience with ambiguity and changing requirements.

• Highly organized and experience handling multiple projects simultaneously.

Preferred Qualifications

• 5+ years of experience with machine learning, text mining/natural language processing or modeling high-dimensional data.

• 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.).

• Experience with an area of People Research (e.g. employee engagement, benefits, performance management, diversity and inclusion, learning and development, leadership etc.) in organizations.

• Experience architecting and automating data and analytics solutions that can provide insights and recommendations at scale.

• Possess the experience, maturity, presence and judgment to gain credibility and respect with business leaders and experience dealing with senior leadership teams in large organizations.

• Experience with survey design.

• Expertise in consumable data visualization techniques that allows an audience to quickly grasp insights.