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impact.com

Builds software for brand partnerships

Senior Data Scientist - Measurement

Data ScienceConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • The role requires 5+ years of total experience, with significant hands-on expertise in data-driven research and development.
  • Candidates must have a proven track record in designing incrementality experiments, A/B testing, and assessing the impact of new initiatives.
  • Candidates must be able to build production-grade pipelines and be fluent in Python and SQL, with the ability to own code from research through production deployment.
  • Candidates must be able to articulate complex tradeoffs, such as graph accuracy versus latency or incrementality versus scale, to stakeholders making build-versus-buy decisions.
  • A Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering is required, or equivalent work experience.

Responsibilities

  • Analyze current measurement solutions to identify systemic weaknesses and opportunities for improvement, and use machine learning, graph networks, and artificial intelligence to develop new approaches.
  • Develop robust testing environments to evaluate new models, independently or with Data Engineering; build proactive monitoring and service-level objectives for system health; and own deployment, testing, and monitoring.
  • Implement incremental enhancements to existing processes, ensure algorithm changes produce measurable improvements in business metrics, rigorously measure impact, and communicate results to stakeholders.
  • Own third-party identity partner evaluations by designing structured proofs of concept that test vendor claims against real data.
  • Translate complex findings into actionable narratives for Product, Engineering, and leadership.
  • Assist in driving technical measurement strategy for high-priority projects in collaboration with other teams and leadership.

Desired Qualifications

  • Familiarity with machine-learning-based entity resolution approaches, including blocking strategies, embedding-based similarity, probabilistic matching, and hierarchical clustering.
  • Experience with graph databases and graph analytics such as Neo4j, Spanner, PuppyGraph, or NetworkX applied to identity or entity data.
  • Deep understanding of multi-touch attribution and cross-channel measurement.
  • Experience with device fingerprinting, cross-device identity, or cookieless identity resolution approaches.
  • Experience evaluating third-party identity resolution or data enrichment vendors, and familiarity with the external identity and measurement partner landscape.
  • Exposure to affiliate marketing, ad tech, or performance marketing data environments and their identity challenges.
  • Familiarity with Google Cloud Platform tools such as BigQuery, Vertex AI, Dataflow, and Cloud Run, and/or Databricks or Spark for large-scale data processing.
  • Knowledge of privacy-preserving identity techniques, including differential privacy, hashing, and clean rooms, and their implications for measurement.
  • A Master's degree or PhD is preferred, or equivalent work experience.

About the Company

impact.com

Builds software for brand partnerships

impact.com builds partnership software for brands that sell through affiliates, creators, and customer referrals. Its Performance, Creator, and Advocate products let marketing teams coordinate these channels through a shared platform rather than separate program tools. Brands use the software to recruit partners, agree on contracts, attribute sales, monitor activity, and automate payments, while publishers and creators find brands through its marketplace. The company earns subscription fees for its software and charges additional fees for services and payment volume above contracted limits. Founded in 2008, impact.com is headquartered in Santa Barbara, California.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$331.4M
Headquarters
Santa Barbara, CA
Founded
2008

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