Staff Data Scientist, ML (People Analytics & Insights)
Robinhood · Chicago, IL
$217,000–$255,000
Jul 19, 2026
Chicago, IL
Jul 21, 2026
What this job asks for AI summary
A Staff Data Scientist role focused on workforce and talent analytics, sitting within a People/HR data team. The position involves building predictive models of employee retention and team performance, designing a unified data model spanning the full employee lifecycle, integrating language models to process unstructured HR data, and owning the technical architecture of internal talent intelligence tools used by executives and managers.
Staff level · 7+ years · San Jose-Sunnyvale-Santa Clara, CA · Full-time
Pay in the description: $217,000–$255,000
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 9 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (data scientists). range 4–15
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $189,150 (middle half $152,859–$224,286). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role is based across three office locations — Menlo Park, CA; Chicago, IL; and New York, NY — with in-person attendance required at least 3 days per week; it is not fully remote.
Compensation is quoted in three geographic zones. The figures captured (Zone 1: $217K–$255K) reflect the highest zone (Menlo Park, CA / New York, NY). Zone 2 (Chicago, IL) is $191K–$224K and Zone 3 (Florida offices) is $170K–$199K.
Snowflake, BigQuery, and dbt are listed together as interchangeable examples of 'modern data infrastructure'; Snowflake is used as the primary name with the others as alternatives.
Psychometrics and survey methodology are listed together as interchangeable qualifications in the requirements section; psychometrics is used as the primary name with survey methodology as an alternative.
The alternative occupation runner-up (Database Architects) reflects the significant data modeling, pipeline, and semantic-layer architecture responsibilities, though the predictive modeling and ML/LLM work clearly makes Data Scientists the primary classification.
Read the full posting
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