Sr. Data Scientist, Programmatic Algorithms

📋 Description

• Embedded Data Scientist in the Programmatic Experience Group; design ML models.
• Own data pipelines, feature engineering, and real-time inference.
• Own end-to-end ML lifecycle: training, deployment, monitoring.
• Balance advertiser performance with publisher monetization.
• Collaborate with Product, DS, and Platform Eng; maintain autonomy.
• Drive high-leverage ML work impacting yield and inventory.

🎯 Requirements

• 5+ years in data science or ML engineering.
• 2+ years building ML models in programmatic advertising.
• Programmatic depth: RTB, header bidding, floor pricing.
• Production ML engineering: real-time inference, monitoring, SLO ownership.
• Data architecture: pipelines, feature stores, training infra.
• Technical skills: Python, SQL; ML libraries; Spark/Kafka; REST/gRPC.
• Experimentation: online A/B tests and results communication.
• Education: Bachelor's in quantitative field; Master/PhD preferred.

🎁 Benefits

• Medical, Dental, and Vision insurance
• Flexible PTO
• Restricted Stock Units (RSUs) with 3-year vesting
• Coursera learning subscriptions
• Parental leave: 26 weeks primary, 13 weeks secondary
• Tech stipend for home office and internet