Staff Data Scientist, Algorithm
Robinhood(5 days ago)
About this role
Staff Data Scientist, Incentives at Robinhood leads the end-to-end design and optimization of the company’s incentive systems, building predictive and causal ML models and decisioning algorithms that influence millions of users. The role partners across Product, Marketing, Finance, and Engineering to measure incremental impact, design experiments, and operationalize incentive allocation at scale. It is based in Menlo Park, CA and focused on shaping incentive strategy and growth modeling at company scale.
Required Skills
- Predictive Modeling
- Causal Inference
- Experimentation Design
- Uplift Modeling
- Python
- SQL
- Airflow
- Production Pipelines
- Optimization Algorithms
- Stakeholder Management
+2 more
About Robinhood
robinhood.comRobinhood is a financial services and brokerage platform offering 24/5 commission-free trading and investing in stocks, ETFs, options, and cryptocurrencies via web and mobile apps. It provides retail investors easy-to-use tools — including fractional shares, real-time market data, advanced order types, and optional margin and premium features (Robinhood Gold) — to lower barriers to entry. Known for its clean, consumer-focused interface and mission to democratize finance, Robinhood also notes that terms, fees, and regulatory oversight may apply.
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