San Francisco, California, USA
70 days ago
Senior People Research Scientist

Job Description

As a People Research Scientist at Block, you will conduct advanced research and modeling to solve strategic HR challenges and improve the employee experience. You are someone who excels in research design, statistical analysis, and data storytelling. Your ability to provide consultative guidance, manage multiple projects, and adapt to shifting priorities is essential in driving organizational effectiveness and enhancing employee engagement.

You will:

Design and execute research studies to understand and improve employee engagement, retention, and performance, utilizing predictive modeling techniques to forecast future trends.Develop and refine employee surveys, ensuring they are methodologically sound and aligned with our strategic objectives.Analyze survey data to identify patterns, trends, and insights that can inform our People strategy.Develop and apply network analysis methods to understand the complex relationships and social structures within the organization.Create and refine psychometric assessments and tools for talent selection, development, and organizational diagnostics.Implement data-driven strategies to enhance our talent acquisition, development, and retention efforts.Present findings and implications of complex predictive and prescriptive analyses to technical and non-technical stakeholders, explaining key insights, strategic importance, and trade-offs among strategic response options.Provide timely, accurate, understandable, impactful, and actionable research insights to executives and senior leaders to help inform and refine our People strategy.Analyze and interpret large datasets using advanced statistical techniques and data visualization tools.Translate research findings into actionable insights and recommendations for senior leadership, ensuring that the implications of the data are clear and impactful.Stay up-to-date with the latest trends and best practices in people analytics, predictive modeling, network analysis, and psychometric assessment design.
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