Senior Data Scientist, ML (Incentives)
Robinhood
At a glance
AI generatedAs a Senior Data Scientist, ML on Robinhood’s Incentives Data Science team in Menlo Park, CA, you will lead the end-to-end design and optimization of incentive systems that drive user engagement and retention. Your responsibilities include building predictive and causal models, designing experimentation frameworks, and developing decisioning algorithms under budget constraints to maximize impact. You’ll work closely with cross-functional teams to inform scalable incentive strategies and monitor production systems for continuous improvement. Ideal candidates have 5+ years of experience in applying ML in growth or personalization domains, expertise in Python, SQL, and ML frameworks like scikit-learn and TensorFlow, and a strong track record of owning models from design through deployment.
Skills
What you'll do
What we're looking for
Market check
This $187,000–$220,000 range sits above 69% of similar postings on FindRole.
Peer median band
$132,000–$220,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$139,400–$213,000
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App
Robinhood currently has 56 open roles on FindRole.
Listed pay typically runs $191,000–$225,000 across 55 roles with salary data.
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