Head of Data Science — Embeddings & Commercial AI

Jobtome; Maplewood (NJ); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to lead the predictive modeling, embedding strategy, and measurement framework for its AI-native behavioral intelligence platform. You will own the embedding model, establish evaluation standards, and collaborate with product and sales to scope pilots and convert evaluations into contracts.

As a senior leader, you will build and guide a team of data scientists, ML engineers, and measurement scientists, delivering production-ready features while driving

Qualifications

• Proven leadership of data science for audience/identity/measurement products.
• Hands-on predictive modeling on consumer data at large scale.
• Strong grounding in measurement, causality, and evaluation design.

Responsibilities

• Build predictive models for audiences and data products across verticals.
• Define segment definitions, coverage, and accuracy for all published audiences.
• Own the platform's Feature Store as a commercial product with versioned features.
• Lead evaluation and responsible AI standards, including bias, privacy, and drift monitoring.
• Lead a data science team with focus on deployment, revenue impact, and production readiness.
• Serve as the senior data science voice to customers and partners; scope pilots and proofs.

Skills

Python

SQL

Distributed data processing

Embeddings/Representations

MLOps

Executive communication

Education

Bachelor's Degree in Computer Science

Tools

Snowflake

LiveRamp

AWS

Spark

Databricks

Job description

Spectrum is seeking a Head of Data Science to lead the predictive modeling, embedding strategy, and measurement framework for its AI-native behavioral intelligence platform. You will own the embedding model, establish evaluation standards, and collaborate with product and sales to scope pilots and convert evaluations into contracts.

As a senior leader, you will build and guide a team of data scientists, ML engineers, and measurement scientists, delivering production-ready features while driving