Staff Data Scientist, Algorithm

📋 Description

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

🎯 Requirements

• 7+ years of ML in production, ideally in incentives or personalization
• 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 (scikit-learn, XGBoost, PyTorch/TF)
• Experience with Airflow and production pipelines, and tools for causal ML and experimentation
• Excellent product intuition and ability to translate ambiguous goals into measurable algorithmic solutions

🎁 Benefits

• Challenging, high-impact work to grow your career
• Performance-based compensation with equity and 401(k) matching
• 100% paid health insurance for employees, 90% coverage for dependents
• Lifestyle wallet – flexible spending for wellness, learning, and more
• Employer-paid life and disability insurance, fertility and mental health benefits
• Time off to recharge including holidays, PTO, sick time, parental leave, and more!