Sr. Data Scientist, Programmatic Algorithms

📋 Description

• Design and deploy ML models for auction pricing and yield.
• Build real-time pricing algorithms balancing revenue and health.
• Develop data pipelines and feature engineering for models.
• Deploy real-time inference and maintain latency/SLOs.
• Collaborate with Product, Data Science, and Engineering teams.
• Own end-to-end model lifecycle: training, deployment, A/B testing.

🎯 Requirements

• 5+ years in data science or ML; 2+ years deploying models in ad tech.
• Programmatic depth: RTB, header bidding, floor pricing.
• Production ML engineering: ship models to production with real-time inference.
• Data architecture: pipelines, feature stores, training infra.
• Python and SQL; ML libraries: scikit-learn, XGBoost, PyTorch.
• Experimentation and evaluation: A/B testing and causal inference.
• Education: Bachelor's required; Master's/PhD preferred.

🎁 Benefits

• Medical, Dental, and Vision insurance.
• Flexible PTO and work-life balance.
• 401(k) with company match.
• RSUs with 3-year vesting.
• Coursera subscription and growth programs.
• Parental leave and family support.