Senior People Data Scientist

Instacart Instacart · Consumer · United States · Remote · People

Senior People Data Scientist role focused on building and maturing enterprise-wide people analytics, including data infrastructure, dashboards, analytical frameworks, and research. The role involves data engineering, analytics, consulting, and data product ownership, with a focus on workforce planning, organizational health, and strategic HR initiatives. Responsibilities include designing self-serve data products, owning data warehousing and architecture, applying advanced analytical methods like predictive attrition models, and championing data governance and privacy.

What you'd actually do

  1. 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.
  2. 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.
  3. Own Data Warehousing and Data Architecture design decisions spanning across data ingestion, ETL/ELTs through BI Tools and LLMs.
  4. Bring analytical rigor to enterprise People programs (e.g., performance cycles, comp reviews, workforce planning, AES) by defining success metrics, segmenting impact, and recommending changes based on evidence and HRBP‑style judgment about feasibility and change management.
  5. Apply and interpret advanced methods where needed, such as predictive attrition models, cohort/survival analysis, and simple causal frameworks to evaluate program effectiveness, while keeping methods transparent and explainable to HR and business audiences.

Skills

Required

  • SQL
  • Snowflake
  • data warehousing
  • ETL/ELTs
  • BI Tools
  • LLMs
  • predictive attrition models
  • cohort/survival analysis
  • causal frameworks
  • multivariate analysis
  • regression models
  • comparison testing
  • natural language processing
  • research methodology
  • psychometrics
  • survey design
  • data governance
  • data privacy
  • role-based access

Nice to have

  • OneModel
  • Tableau
  • Looker
  • Workday
  • Qualtrics

What the JD emphasized

  • 5+ years of experience in analytics, data science, business intelligence, or a closely related field, with at least 2–3+ years in People Analytics / HR data (HCM, recruiting, comp, retention, DEI, engagement, or workforce planning).
  • Experience designing and maintaining executive‑facing dashboards and data products in a BI tool (e.g., OneModel, Tableau, Looker), including metric design, documentation, and stakeholder enablement/training.
  • Advanced proficiency in SQL and experience with a modern cloud data warehouse such as Snowflake, including working with large, complex datasets, performance‑tuned queries, building data pipelines, and developing analytics-ready models.
  • Demonstrated ability to translate complex analytical findings into clear stories and actionable insights for HR/business leaders, including writing talking points and delivering live presentations.
  • Demonstrated expertise in multivariate analysis, including the design and interpretation of regression models, comparison testing, and natural language processing techniques applied to large-scale text data.
  • Strong foundation in research methodology and psychometrics, with the ability to design, validate, and interpret survey instruments and other qualitative measures with rigor.
  • Experience handling sensitive HR data with strong judgment around privacy, secur