Data Scientist

Data Scientist NYC, NY 12+ Months Only USC - American Citizen / Permanant Resident ( Non-South Asian Visa ) - Data Scientist with media and advertising experience - Background must have degree in computer science or data science - Must have worked at an advertising technology company or agency or tv publisher within ad sales - Location : Initially working onsite NYC , NY 4 days for 3 months then ( 2-3 days in office till end of contract) ------------------------------------------------------------------------ Client objective to design, build, and maintain Audience Household (HH) Graph, a core data asset that connects people, devices, and households to enable cross-platform audience activation, targeting, and measurement across the digital advertising ecosystem. This role will work closely with data scientists, product managers, and ad tech partners (DSPs, SSPs, and clean rooms) to unify fragmented identifiers and power scalable audience solutions for programmatic, CTV, and omnichannel campaigns. Role #: Data Scientist, Audience Household Graph Key Responsibilities - Data Architecture & Pipeline Development: Build and maintain scalable data pipelines that ingest, process, and unify multi-source identity data (device IDs, IPs, emails, cookies, CRM, CTV IDs) into a graph-based model. - Graph Modeling: Design and optimize graph data structures representing relationships between individuals, devices, and households to support audience matching, lookalike modeling, and reach deduplication. - Ecosystem Integration: Integrate data from DSPs, SSPs, DMPs, CDPs, and clean rooms to enable audience onboarding, enrichment, and campaign measurement. - Data Quality & Governance: Establish robust data validation, deduplication, and probabilistic/deterministic matching pipelines to ensure accuracy and compliance with privacy regulations (GDPR, CCPA). - Scalability & Performance: Ensure the household graph supports real-time or near-real-time audience activation across millions of households and billions of identifiers. - Collaboration: Partner with Data Science, Product, and Ad Operations teams to operationalize audience data into DSP workflows, measurement systems, and optimization platforms. - Monitoring & Optimization: Build dashboards and monitoring tools to track data quality, match rates, and audience graph performance across DSP integrations and media channels. - Integrate data from identity providers with first-party data, - Create data models and pipelines, integrating data from 1P, 2P & 3P data providers for building a data spine that supports Household Graph (HHG) build, - Create a HHG and maintain its updates, - Create data models and pipelines, integrating HHG to support campaign lifecycle management and insights app (named, Ad Sales app) - Support all ETL facets as it relates to MX Ad Sales app and HHG Pay: $65.00 - $66.00 per hour Work Location: In person