Sr. Data Scientist, Programmatic Algorithms at impact.com

Department: Product

Compensation

$165,000 – $185,000/yr

Location: Seattle, Washington
Type: Full-time
Level: senior
Posted: Apr 27, 2026

Description

impact.com is hiring a Senior Data Scientist for its Programmatic Experience Group to own end-to-end machine learning systems that optimize yield, pricing, inventory allocation, and real-time auction decisions. The role combines data science, ML engineering, data architecture, production inference, experimentation, and feedback-loop design, with significant autonomy and collaboration across product, engineering, and data science teams. Candidates need at least five years of relevant experience, including two or more years in programmatic advertising or a closely related domain, along with strong Python, SQL, and large-scale ML systems skills. The position offers a $165,000–$185,000 annual base salary plus a 5% variable bonus and RSUs, with medical, dental, and vision insurance.

Required Skills

Python
SQL
scikit-learn
XGBoost
LightGBM
PyTorch
TensorFlow
Spark
Kafka
Real-time inference
Causal inference
Experiment design

Additional Information

Minimum Education: Bachelor's degree in a quantitative field such as computer science, statistics, mathematics, engineering, economics, or a similar field
Required Previous Experiences: 5+ years of experience in data science, machine learning engineering, or quantitative research
2+ years of experience building and deploying machine learning models in programmatic advertising, ad technology, marketplace optimization, or a closely related domain
Experience independently deploying models from prototype to production
Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency machine learning systems
Experience with real-time feature serving and low-latency model deployment
Experience processing and modeling programmatic data at scale
Experience with causal inference and experiment design in online, delayed-feedback environments
Preferred Qualifications: Master's or PhD
Direct experience with SSP, DSP, or exchange-side yield optimization
Familiarity with auction theory
Experience with contextual bandits, multi-armed bandits, or reinforcement learning
Knowledge of online learning and adaptive algorithms in production environments
Familiarity with privacy-preserving machine learning techniques
Experience with GCP tools and Databricks/Spark for large-scale event processing and model training
Exposure to supply forecasting, inventory management, or capacity planning
Familiarity with Impact's affiliate and partnership ecosystem or experience at the intersection of performance marketing and programmatic delivery
Translation Company Name: impact.com