Staff Data Scientist, People Analytics & Talent Insights

Rainfall Ventures

California (MO)

Hybrid

USD 217,000 - 255,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Equity ownership
401(k) matching
Flexible benefits
Parental leave
Office perks

Job summary

Robinhood is seeking a Staff Data Scientist to lead the development of predictive workforce analytics and high-impact data products. You will own the vision, design, and delivery of data insights used by executives, people partners, and line managers daily.

You will apply state-of-the-art language models, conduct rigorous experiments, and collaborate with Enterprise Engineering to ensure reliable, scalable solutions across our talent systems.

Qualifications

  • 7+ years of data science experience with strong Python and SQL skills.
  • Experience designing data products and partnering with engineers.
  • Knowledge of language models and predictive analytics in production.

Responsibilities

  • Spearhead talent intelligence: build predictive frameworks for workforce insights.
  • Architect a unified workforce data model across systems and tools.
  • Define metrics dictionary and semantic layer for consistent reporting.
  • Lead data access governance to protect sensitive personnel data.
  • Redesign sentiment architecture with continuous listening for health signals.
  • Own delivery of internal data interfaces with enterprise engineering.
  • Apply experimental design and psychometrics to validate models.

Skills

Python
SQL
Language models
Predictive analytics

Tools

Snowflake
BigQuery
dbt

Job description

Robinhood is seeking a Staff Data Scientist to lead the development of predictive workforce analytics and high-impact data products. You will own the vision, design, and delivery of data insights used by executives, people partners, and line managers daily.

You will apply state-of-the-art language models, conduct rigorous experiments, and collaborate with Enterprise Engineering to ensure reliable, scalable solutions across our talent systems.

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