Head of Data Science: Embeddings & Commercial AI Platform

Jobtome; Long Beach (WA); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum in the United States seeks a Head of Data Science to lead predictive models, embeddings, and platform metrics across audiences and measurement. You will own the embedding roadmap and set evaluation standards, working with product and sales to scope pilots and convert evaluations into contracts.

Lead the data science team, drive responsible AI practices, and partner with Legal and Privacy to ensure compliant, production-ready solutions that scale across markets.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products.
• Hands-on predictive modeling on consumer-level data at scale.
• Strong grounding in measurement and causal inference.
• Knowledge of identity graphs, clean rooms, and third-party data.
• Experience with end-to-end ML lifecycle and feature stores.
• Ability to explain methodology to executives and buyers.

Responsibilities

• Lead the data science team and guide predictive modeling for platform products.
• Own the platform's embedding model and evaluation standards.
• Define measurement methodologies and run validation against real-world outcomes.
• Collaborate with product, sales, and partners to scope pilots and contracts.
• Establish MLOps and privacy safeguards in partnership with Legal and Privacy.
• Build scalable data infrastructure, including feature stores and pipelines.

Skills

Predictive modeling

Measurement expertise

Identity graphs

MLOps

Python

SQL

Deep learning

Embeddings

Education

Bachelor's Degree in Computer Science/Statistics

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

Job description

Spectrum in the United States seeks a Head of Data Science to lead predictive models, embeddings, and platform metrics across audiences and measurement. You will own the embedding roadmap and set evaluation standards, working with product and sales to scope pilots and convert evaluations into contracts.

Lead the data science team, drive responsible AI practices, and partner with Legal and Privacy to ensure compliant, production-ready solutions that scale across markets.