Staff Data Scientist (ML, People Analytics & Insights)

Join Robinhood, a fast-paced and high-performing team at the forefront of applying advanced technologies to solve significant financial challenges. As a Staff Data Scientist, you will play a crucial role in transforming how the company utilizes data to empower its workforce and anticipate organizational needs. Your responsibilities will include building predictive frameworks, architecting a unified workforce data model, defining metrics, driving data access control and governance, redesigning employee sentiment architecture, owning product delivery, and enforcing rigorous statistical standards. This is an exciting opportunity to make a meaningful impact in the field of people analytics and insights.

• Spearhead the next phase of talent intelligence by building predictive frameworks that show not just what is happening in the workforce, but what will happen next.
• Architect a unified workforce data model by integrating data across disparate recruiting systems, performance cycles, surveys, and internal tools into a single, cohesive data model.
• Drive data access control and governance by building frameworks for role-based access controls and data masking to ensure sensitive personnel data is protected.
• 7+ years of data science experience, with advanced skills in Python, SQL, and direct experience with modern data infrastructure like Snowflake, BigQuery, or dbt
• Direct experience integrating language models into data pipelines to automate text processing and summarization at scale
• Deep understanding of statistics, experimental design, and psychometrics or survey methodology to design research-backed questions
• Strong product focus and experience defining user requirements, collaborating with engineers, and taking internal data tools from conception to launch