Role Overview
impact.com is seeking a Senior Data Scientist to join the Programmatic Experience Group based in New York City. This role suits an experienced machine learning professional who can design, deploy, and maintain advanced algorithms that optimize yield, pricing, and inventory allocation at scale. Operating with high autonomy, the successful candidate works at the intersection of data science, platform engineering, and marketplace economics.
Key Responsibilities
Yield Optimization & Pricing Models: Design and deploy machine learning models that manage auction pricing, bid shading, floor prices, and overall yield across programmatic inventory.
Inventory Allocation & Supply Optimization: Own inventory routing, pacing, and matching logic to connect supply with demand effectively while forecasting inventory availability and clearing prices.
Data Architecture & Feature Engineering: Build robust data infrastructure, streaming event pipelines, and feature stores using auction logs, bid streams, and contextual attributes.
Real-Time Inference & Production ML: Deploy models to production real-time inference environments, taking ownership of latency, system health, monitoring, and model versioning.
Experimentation & Performance Measurement: Design A/B and holdout tests to measure causal impacts on yield, fill rates, and partner revenue in live auction environments.
Self-Learning Systems: Research and implement adaptive components, such as contextual bandits and feedback mechanisms, to reduce reliance on manual overrides.
Cross-Functional Collaboration: Partner closely with product and engineering teams to translate business requirements into scalable modeling approaches.
Requirements
Minimum of 5 years of professional experience in data science, machine learning engineering, or quantitative research.
At least 2 years of direct experience building and deploying machine learning models within programmatic advertising, ad tech, marketplace optimization, or real-time bidding domains.
Solid understanding of programmatic auction mechanics, including RTB, header bidding, deal types, and floor pricing.
Proven ability to independently take models from prototype to production, managing real-time inference, monitoring, and retraining pipelines.
Strong technical proficiency in Python and SQL, alongside experience with machine learning libraries and large-scale streaming or batch frameworks.
Strong grasp of causal inference and experiment design in online environments with delayed feedback.
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or Economics.
Nice to Have
Direct experience with SSP, DSP, or exchange-side yield optimization and deal matching algorithms.
Familiarity with auction theory and reserve pricing.
Experience applying contextual bandits, multi-armed bandits, or reinforcement learning to real-time decisioning.
Knowledge of online learning and adaptive algorithms for non-stationary data distributions.
Familiarity with privacy-preserving machine learning techniques relevant to programmatic advertising.
Experience utilizing Google Cloud Platform tools or Databricks and Spark for large-scale data processing.
Skills and Tools
Python
PyTorch
TensorFlow
SQL
GCP
Spark
MLOps
Kafka
Salary and Benefits
Annual base salary ranging from $165,000 to $185,000.
Additional 5% variable annual bonus contingent on company performance.
Eligible for a Restricted Stock Unit (RSU) grant with a 3-year vesting schedule.
Comprehensive medical, dental, and vision insurance.
Flexible working environment featuring a responsible paid time off policy.
Mental health and wellness benefits, including up to 12 fully covered therapy or coaching sessions per year.
Monthly gym reimbursement policy.
Office perks including catered Thursday lunches, healthy snacks, and coffee.
Free Coursera subscription for continuous learning.
About the Company
impact.com provides the world’s leading commerce partnership marketing platform, transforming how businesses grow by helping them discover, manage, and scale partnerships across the entire customer journey. Over 5,000 global brands rely on the integrated platform to drive trusted, performance-based growth.
How to Apply
Interested candidates should visit the official company careers page to submit an application for this position.
