Staff Data Scientist, ML (People Analytics & Insights)

What you'll do

• Build predictive frameworks to forecast workforce trends rather than just reporting on historical data.
• Architect a unified workforce data model by integrating disparate recruiting systems and internal tools into one cohesive system.
• Use AI-native workflows to parse and analyze unstructured text like exit notes and survey feedback at scale.
• Define the company-wide metrics dictionary and semantic layer to ensure consistent measurement of headcount, attrition, and trends.
• Establish data access controls and masking frameworks to protect sensitive personnel information while enabling necessary internal access.
• Replace traditional annual surveys with a continuous listening framework to capture real-time organizational health indicators.
• Act as the technical product owner for internal data interfaces to ensure high utility and reliability for end users.
• Apply experimental design, A/B testing, and psychometric methodologies to ensure all workforce models are scientifically valid.

What we're looking for

• You must have at least 7 years of data science experience.
• You must possess advanced skills in Python and SQL.
• You must have experience with modern data infrastructure such as Snowflake, BigQuery, or dbt.
• You must have a strong product focus including defining user requirements and taking tools from conception to launch.
• You must have deep knowledge of statistics, experimental design, and psychometrics or survey methodology.
• You must have direct experience integrating language models into data pipelines for automated text processing at scale.