Senior Data Scientist

Responsibilities

• Design and deploy ML models to optimize auction pricing, bid shading, floor price setting, and yield
• Build real-time pricing algorithms and inventory allocation logic for routing and matching supply to demand
• Design and own data infrastructure including event pipelines, feature stores, and real-time feature serving
• Deploy models to production real-time inference environments and manage latency and reliability
• Build monitoring systems to track model performance, data drift, and system health
• Design and execute A/B and holdout experiments to measure causal impact on yield and revenue
• Research and implement adaptive components like contextual bandits and reinforcement learning

Requirements

• 5+ years in data science, ML engineering, or quantitative research
• 2+ years building/deploying ML models in programmatic advertising, ad tech, or marketplace optimization
• Deep understanding of programmatic auction mechanics (RTB, header bidding, floor pricing)
• Proven ability to take models from prototype to production independently
• Strong Python and SQL skills
• Proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow)
• Experience with large-scale data tools (Spark, Kafka)
• Experience with real-time feature serving and low-latency model deployment
• Strong grasp of causal inference and experiment design
• Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics)

Preferred Qualifications

• Direct experience with SSP, DSP, or exchange-side yield optimization
• Familiarity with auction theory and optimal reserve pricing
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning
• Knowledge of online learning and adaptive algorithms
• Familiarity with privacy-preserving ML (differential privacy, federated learning)
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) or Databricks

Benefits

• Medical, Dental, and Vision insurance
• Flexible PTO and flexible working environment
• Mental health and wellness benefits including therapy sessions
• Monthly gym reimbursement
• Restricted Stock Units (RSUs) with a 3-year vesting schedule
• Paid parental leave (26 weeks primary, 13 weeks secondary)
• Technology stipend and monthly internet allowance
• Free Coursera subscription

About the Company

impact.com is the world’s leading commerce partnership marketing platform, enabling businesses to discover, manage, and scale partnerships across the entire customer journey.