Staff Data Scientist, Incentives (ml)

Robinhood Markets Inc

Menlo Park, CA, United States
Base: $217,000—$255,000 usd; bonus/equity: eligibl...
On-site (in-person attendance expected at least 3 days per week)
Build and deploy ml models
Design and evaluate experiments
Optimize incentive allocation algorithms
Robinhood Markets Inc is seeking a Staff Data Scientist for their Incentives team in Menlo Park, CA. The role involves leading the design and optimization of incentive systems using machine learning to enhance user engagement and drive growth

Job Summary

  • As a Staff Data Scientist, Incentives, you will lead the end-to-end design, optimization, and evolution of Robinhood’s incentive systems.
  • We are building an elite team, applying frontier technologies to the world’s biggest financial problems.
  • Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.

Matching Summary

Match Score: 85

Robinhood Markets Inc is seeking a Staff Data Scientist for their Incentives team in Menlo Park, CA. The role involves leading the design and optimization of incentive systems using machine learning to enhance user engagement and drive growth.

Salary

Base: $217,000—$255,000 USD; Bonus/Equity: eligible for bonus opportunities + equity; Benefits: Best in class benefits

Skills & Requirements

Must-have

  • build and deploy ML models
  • design and evaluate experiments
  • optimize incentive allocation algorithms
  • monitor production systems
  • Python, SQL, ML frameworks
  • production ML experience

Nice-to-have

  • bold thinkers
  • sharp problem-solvers
  • wired to make an impact
  • growth-minded approach
  • technical leadership

Key Requirements

  • 7+ years of ML production experience
  • end-to-end model ownership
  • expertise in causal inference
  • experience with Airflow
  • strong communication skills

Work Rights

Not specified

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