Sr. Data Scientist, Programmatic Algorithms

📋 Description

• Own design and deployment of ML models for yield, pricing, and inventory.
• Build real-time inference systems for auction-time decisions.
• Architect data pipelines, feed models, deploy real-time features.
• Collaborate with Product, Data Science, and Programmatic teams.
• Own the model lifecycle from training to monitoring.
• Balance advertiser performance with publisher monetization.

🎯 Requirements

• 5+ years in data science, ML engineering, or quantitative research.
• 2+ years building ML models in programmatic advertising or ad tech.
• Production ML engineering: real-time inference, monitoring, retraining pipelines.
• Data architecture: pipelines, feature stores, training infrastructure.
• Strong Python and SQL; ML libs: scikit-learn, XGBoost, PyTorch.
• Experience with real-time feature serving and low-latency deployment.

🎁 Benefits

• Extended health, vision, dental; virtual care.
• Disability and life insurance; Health Care Spending Account.
• Flexible PTO and parental leave.
• RSUs with a 3-year vesting schedule.
• Coursera access and internal training.
• Tech stipend for home office; internet allowance; gym reimbursement.