Sr. Data Scientist, Programmatic Algorithms

What you'll do

• Build and operate pricing, yield, and inventory-allocation models, including real-time auction inference.
• Own model data pipelines, feature engineering, production monitoring, experimentation, and model lifecycle.
• Measure model impact through online experiments and collaborate with product and engineering teams on implementation.

What they ask for

• 5+ years in data science, ML engineering, or quantitative research, including at least 2+ years deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain.
• Demonstrated understanding of programmatic auction mechanics and production ML, including real-time inference, monitoring, retraining, and SLO ownership.
• Experience building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems; strong Python and SQL.
• Strong grasp of causal inference and online experiment design; bachelor's degree in a quantitative field.

Nice to have

• Master's/PhD; direct SSP, DSP, or exchange-side yield optimization experience.
• Experience with contextual bandits, reinforcement learning, online learning, or GCP/Databricks tools.

Pay

$165,000 - $185,000 USD per year base salary; additional 5% variable annual bonus (amount not specified); RSU grant (amount not specified)

Tools

Python, SQL, scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow, Spark, Kafka

AI focus

Develops and deploys ML for auction pricing, bid shading, yield and inventory optimization, forecasting, and real-time decisioning; may use contextual bandits, reinforcement learning signals, and online learning.