Head of Data Science: AI-Driven Audience Intelligence Lead

Jobtome; East Rutherford (NJ, PA); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to lead the AI-native behavioral intelligence platform's modeling efforts and drive products to market. You will oversee the embedding model, collaborate with product, sales, and external partners, and ensure scalable, measurable outcomes.

You will shape evaluation, MLOps, and responsible AI standards while building and leading a high-performing data science team to deliver revenue impact.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising/marketing ecosystem
• Hands-on predictive modeling on consumer-level data at scale
• Strong grounding in measurement and causal inference
• Experience with identity graphs and clean rooms for data collaboration
• Experience in production ML lifecycle and feature stores
• Proficiency in Python, SQL, and distributed processing

Responsibilities

• Build and run predictive models behind the platform’s audience and data products
• Own and productize the platform’s Feature Store
• Lead modeling for custom and partner audiences
• Design and defend measurement methodology for campaign lift and attribution
• Oversee embeddings and the embedding roadmap with external partners
• Set and maintain evaluation, MLOps, and responsible AI standards
• Lead a data science team and foster production-ready, revenue-focused work

Skills

Predictive modeling

Leadership

Measurement

Identity graphs

Python

SQL

Cloud platforms

Deep learning

Privacy & compliance

Education

Bachelor’s degree in CS/Stats/Math/Economics

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

Job description

Spectrum is seeking a Head of Data Science to lead the AI-native behavioral intelligence platform's modeling efforts and drive products to market. You will oversee the embedding model, collaborate with product, sales, and external partners, and ensure scalable, measurable outcomes.

You will shape evaluation, MLOps, and responsible AI standards while building and leading a high-performing data science team to deliver revenue impact.