- Hands-on experience with knowledge graph construction, entity resolution, or semantic data modeling (RDF, OWL, SPARQL, or equivalent graph frameworks)
- Familiarity with probabilistic record linkage, identity graph approaches, or embedding-based entity matching at scale
- Experience with causal inference methods (A/B testing, synthetic control, uplift modeling)
- Experience with deduplication, enrichment, or web-to-TV linkage problems
- Background in media, ad tech, or measurement — TV viewership (ACR/STB data), digital audience modeling, cross-platform measurement (linear + CTV/OTT), or identity resolution in privacy-constrained environments
- Familiarity with the measurement and identity vendor landscape (Nielsen, Comscore, LiveRamp, The Trade Desk
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