Head of Data Science: AI Embeddings & Audience Modeling

Jobtome; Village of Garden City (NY); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science in New York City to build predictive models for audiences and data products, lead the embedding Layer development, and drive responsible AI standards. You will lead a team of data scientists and ML engineers, collaborate with product and sales, and ensure models meet commercial and regulatory requirements.

The role sits on the platform leadership team, reports to the Head of Intelligence Ventures, and emphasizes production deployment with a bias toward

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products.
• Deep hands-on predictive modeling on consumer data at scale.
• Strong grounding in measurement and causal inference.
• Experience with privacy-preserving analytics and data regulation.

Responsibilities

• Build predictive models behind the platform's audiences and data products.
• Own the platform's Feature Store as a commercial product.
• Lead evaluation, MLOps, and responsible AI standards.
• Scale models across billions of records in production.
• Lead and grow a high-performing data science team.

Skills

Predictive modeling

Leadership

ML engineering

Measurement science

Python

SQL

Distributed data processing

Transformer models

Privacy-preserving analytics

Education

Bachelor's Degree in Computer Science, Statistics, Mathematics, Economics, or related field

Master's degree or PhD in Statistics, Machine Learning, Econometrics, Operations Research, or related

Tools

Snowflake

AWS

Databricks

Spark

LiveRamp

Job description

Spectrum is seeking a Head of Data Science in New York City to build predictive models for audiences and data products, lead the embedding Layer development, and drive responsible AI standards. You will lead a team of data scientists and ML engineers, collaborate with product and sales, and ensure models meet commercial and regulatory requirements.

The role sits on the platform leadership team, reports to the Head of Intelligence Ventures, and emphasizes production deployment with a bias toward