Senior People Data Scientist

Overview

Instacart’s People Analytics & Research (PAR) team delivers trusted insights that help leaders make better, faster decisions and create an environment where every employee can do the best work of their career. Embedded within People Services Delivery, we partner across the People org and the business to build the data infrastructure, dashboards, analytical frameworks and research that power workforce planning, organizational health, and strategic HR initiatives for all Instacart employees. In addition, our mission is to bring these insights to life through close partnerships with partner teams across Instacart.

We’re hiring a Senior People Data Scientist (L5) to serve as an enterprise‑wide people analytics thought partner—blending data engineering, analytics, consulting, and data product ownership. You will own complex, multi‑quarter analytical workstreams, shape company‑level people metrics, and help leaders at all levels use data to make better, more equitable decisions about our workforce.

This is a high‑visibility IC role with significant exposure to senior HR and business leaders, ideal for someone who is equally comfortable in Snowflake, extracting insights from employee data, executive‑level storytelling, and in shaping how HR and business leaders across Instacart use data at scale.

About the Job

• Help to evolve the enterprise people analytics agenda across key domains (e.g., organizational health, performance, hiring), including cross functional partnerships to align metrics to Instacart’s priorities and providing insights which help solve our more complex people problems.
• Contribute to high‑stakes, enterprise‑wide projects, such as:
  • Drivers of retention across functions
  • Implementation and analysis of people surveys across Instacart
  • Organizational Health and design metrics
  • Engagement survey insights and action effectiveness
  • Implementation of AI in analysis workflows
• Design and mature self‑serve people data products (dashboards, standardized views, metric layers) that scale across HR and the business—standardizing definitions, partnering with People Tech and Finance on data architecture, and driving adoption through enablement and training.
• Own Data Warehousing and Data Architecture design decisions spanning across data ingestion, ETL/ELTs through BI Tools and LLMs.
• Bring analytic