Demonstrated experience with statistical modeling techniques: logistic regression, clustering (k-means, hierarchical), decision trees, propensity modeling, and dimensionality reduction Hands-on experience with at least two of the following: data clean rooms (Epsilon, LiveRamp, Habu, Snowflake, AWS Clean Rooms), CDPs (Adobe, Segment, mParticle, Hightouch), or customer data warehouses (Snowflake, BigQuery, Databricks) Working knowledge of identity resolution frameworks (deterministic, probabilistic, unified ID solutions) and how they apply to media activation and measurement In-depth technical knowledge of the ad tech and martech ecosystem: ad servers, DSPs, SSPs, verification vendors, dynamic creative, streaming/CTV, retail media networks Strong client-facing communication skills. Where Audience Strategists define the what and why of audience approaches for clients, this role owns the how: building, deploying, and maintaining the data products, models, and technical infrastructure that bring those strategies to life.