# Sr. Data Scientist, Programmatic Algorithms

Hiring organization: [impact.com](https://career.thegoodapps.co/organizations/impact-com)

Canonical page: https://career.thegoodapps.co/jobs/53e2ba5f-6e8c-40be-9a40-44f7ebccee2f

Listed on impact.com's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: New York, NY
- Salary: 165000 – 185000 USD per year

## Summary

This role involves designing and deploying machine learning models to optimize pricing, yield, and inventory allocation in a programmatic advertising marketplace. It suits experienced ML engineers and data scientists who thrive on full-stack ownership, from data pipelines and feature engineering through production inference and experimentation, and who understand marketplace economics alongside statistical rigor.

_Our summary, not impact.com's wording._

## Skills named

Apache Kafka, Databricks, Dataflow, Google BigQuery, gRPC, Python, PyTorch, REST APIs, scikit-learn, SPARK, SQL, TensorFlow, XGBoost

## Required

- 5+ years data science, ML engineering, or quantitative research
- 2+ years building and deploying ML models in programmatic advertising or ad tech
- Understanding of programmatic auction mechanics (RTB, header bidding, floor pricing)
- Proven ability to deploy models to production with real-time inference and monitoring
- Experience designing data pipelines and feature stores for high-volume, low-latency systems
- Strong Python and SQL proficiency
- Experience with ML libraries and large-scale data tools
- Ability to handle real-time feature serving and model deployment
- Knowledge of causal inference and experiment design in delayed-feedback environments
- Strong communication of technical tradeoffs to non-technical stakeholders
- Bachelor's degree in quantitative field

## Nice to have

- Direct experience with SSP, DSP, or exchange-side yield optimization
- Knowledge of auction theory and optimal reserve pricing
- Experience with contextual bandits, multi-armed bandits, or reinforcement learning
- Familiarity with online learning and adaptive algorithms
- Knowledge of privacy-preserving ML techniques
- GCP tools experience (BigQuery, Vertex AI, Dataflow, Pub/Sub)
- Experience with supply forecasting or inventory management in programmatic
- Familiarity with affiliate marketing or partnership ecosystems
- Master's or PhD degree

Apply on impact.com's site: https://job-boards.greenhouse.io/impact/jobs/8427973002