<p><strong>About </strong><a href="http://impact.com"><strong>impact.com</strong><br></a></p> <p>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, and Fanatics - rely on <a href="https://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fimpact.com&esheet=54399906&newsitemid=20260120914149&lan=en-US&anchor=impact.com&index=38&md5=c467739484a5a8610aff0747572ac8cb">impact.com</a> to power more than 350,000 partnerships that deliver measurable business results.</p> <p><strong>Your Role at impact.com:</strong></p> <p>We are looking for a Senior Data Scientist to contribute to enhancing our measurement capabilities across Impact’s dynamic partnership marketing ecosystem. In this role, you will lead modeling research across a variety of measurement initiatives—including, but not limited to, attribution, identity resolution, and tracking quality—while simultaneously owning the pipelines supporting end-to-end measurement and incrementality testing.</p> <p>This is a high-impact individual contributor role. You will drive the measurement strategy for key measurement initiatives, designing the experiments to quantify the expected lift of attribution-enhancing projects and the robustness of our underlying identity graph and tracking pipelines. You will act as the bridge between technical integrity and business value for our measurement outcomes.</p> <p>You'll also serve as Impact's technical counterpart with external identity and measurement partners. You will design and run structured POCs, evaluate vendor solutions rigorously, and produce data-driven recommendations on build-vs-buy decisions that shape the long-term identity strategy.</p> <p><strong>What You'll Do:</strong></p> <ul> <li><strong>Innovate & Modernize</strong>: Analyze current measurement solutions to identify systemic weaknesses and opportunities for improvement. Use cutting-edge methods in ML, graph networks, and AI to develop next-generation approaches.</li> <li><strong>Pipeline Development & Evaluation: </strong>Develop robust testing environments to evaluate new models, independently or in partnership with Data Engineering. Build proactive monitoring and SLOs for system health. Own deployment, testing, and monitoring.</li> <li><strong>Impact</strong>:<strong> </strong>Implement incremental enhancements to existing processes. Ensure that changes to our algorithms produce verifiable, measurable improvement in business metrics. Measure impact rigorously and communicate results to stakeholders. </li> <li><strong>Vendor Strategy: </strong>Serve as the technical owner for third-party identity partner evaluations, designing structured POCs that move beyond "demo-ware" to stress-test claims against real data.</li> <li><strong>Stakeholder </strong><strong>Communication: </strong>Translate complex findings into actionable narratives for Product, Engineering, and leadership.</li> <li><strong>Strategic Initiatives</strong>:<strong> </strong>Use technical expertise to assist in driving the technical measurement strategy for high-priority projects in collaboration with other teams and leadership.</li> </ul> <p><strong>What You Bring:</strong></p> <ul> <li><strong>Experience: </strong>5+ years of total experience, with significant, hands-on expertise in data-driven research and development.</li> <li><strong>Attribution & Measurement: </strong>Proven track record in designing incrementality experiments, A/B testing, and assessing the impact of new initiatives. </li> <li><strong>Engineering Rigor: </strong>Proven ability to build production-grade pipelines. Fluent in Python/SQL and comfortable owning code from research through to production deployment.</li> <li><strong>Analytical Communication: </strong>Ability to articulate complex tradeoffs (e.g., graph accuracy vs. latency or incrementality vs. scale) to stakeholders who need to make build-vs-buy decisions.</li> <li><strong>Education: </strong>Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, or similar); Master's/PhD preferred, or equivalent work experience</li> </ul> <p><strong>Nice To Have:</strong></p> <ul> <li>Familiarity with ML-based entity resolution approaches: blocking strategies, embedding-based similarity, probabilistic matching, and hierarchical clustering.</li> <li>Experience with graph databases and graph analytics (Neo4j, Spanner, PuppyGraph, NetworkX, or similar) applied to identity or entity data.</li> <li>Deep understanding of multi-touch attribution (MTA) and cross-channel measurement.</li> <li>Experience with device fingerprinting, cross-device identity, or cookie-less identity resolution a