Sr. Data Scientist, Programmatic Algorithms
AI summary of the role
Senior Data Scientist embedded in the Programmatic Experience Group, owning ML models for yield optimization, pricing, and inventory allocation at scale.
What you’ll do
- Design and deploy ML models for auction pricing, bid shading, floor price setting, and yield optimization across programmatic inventory.
- Own ML-driven inventory allocation logic including routing, pacing, and supply-demand matching.
- Engineer high-signal features from auction logs, bid stream data, and historical performance at programmatic data scale.
- Deploy models to real-time inference environments and own latency, reliability, and monitoring in production.
What you’ll bring
- 5+ years in data science, ML engineering, or quantitative research with 2+ years in programmatic advertising, ad tech, or marketplace optimization.
- Deep understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, bid shading).
- Proven ability to take ML models from prototype to production independently including real-time inference and monitoring.
- Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka).
Technologies
Python · SQL · scikit-learn · XGBoost · LightGBM · PyTorch · TensorFlow · Spark · Kafka · GCP · BigQuery · Vertex AI
About impact.com
Commerce partnership platform helping brands manage affiliate, creator, referral, publisher, and B2B partner programs with tracking, contracting, payments, and analytics.
Private Late · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.
More from the job description
About impact.com impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-en [... source excerpt omitted ...] fectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory. Build [... source excerpt omitted ...] from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes. Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making. Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers. Partner with MLOps and Platform Engineering to ensure scalable, low-late
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