Senior Data Scientist, ML (Incentives)

About This RoleAI processing…

Key Responsibilities

• 1
  Build, deploy, and iterate on predictive and causal models for incentive targeting
• 2
  Design and evaluate experiments to measure incremental impact, payback, and ROI of promotional programs
• 3
  Partner cross-functionally with Product, Finance, Marketing, and Engineering to inform scalable incentive strategies
• 4
  Design and optimize incentive allocation algorithms under budget and policy constraints to maximize incremental impact
• 5
  Monitor production systems, analyze user behavior, and propose algorithmic and policy improvements
• 6
  Influence the long-term vision for growth modeling at Robinhood, including personalization and cross-sell optimization

Requirements

• 5+ years of experience applying ML in production, ideally in growth, incentives, marketplace, or personalization domains
• Proven track record owning models end-to-end — from design and development to deployment and iteration
• Deep expertise in predictive modeling, uplift modeling, causal inference, and experimentation design
• Strong technical skills in Python, SQL, and ML frameworks (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow)
• Experience working with Airflow and production pipelines, as well as tools for causal ML and experimentation
• Excellent product intuition and ability to translate ambiguous goals into measurable algorithmic solutions
• Strong communication and stakeholder management skills, with the ability to influence across teams
• A collaborative and growth-minded approach, with strong technical leadership and a consistent focus on impact and ROI

Perks & Benefits