Senior Data Scientist at impact.com

Compensation

$165,000 – $185,000/yr

Setup: Hybrid
Location: New York, New York
Type: Full-time
Level: Senior
Posted: Apr 27, 2026

Description

impact.com is looking for a Senior Data Scientist to join their Programmatic Experience Group. This role involves designing and deploying machine learning models to optimize yield, pricing, and inventory allocation. The successful candidate will work end-to-end, from architecting data pipelines and engineering features to deploying real-time inference systems. They will also quantify the revenue impact of pricing model improvements and identify inefficiencies in inventory utilization.

Required Skills

Python
SQL
scikit-learn
XGBoost
LightGBM
PyTorch
TensorFlow
Spark
Kafka

Additional Information

Required Previous Experiences: 5+ years in data science, ML engineering, or quantitative research
at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)
Preferred Qualifications: Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.