Head of Data Science: Embeddings & Audience Intelligence

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

Job summary

Spectrum is seeking a Head of Data Science to build and lead a large-scale data science organization in support of an AI-native behavioral intelligence platform. You will own predictive modeling, audience definitions, and measurement methodologies, while steering the embedding model and coordinating with product, sales, and external partners to drive revenue and validation with buyers.

You will manage a team of data scientists and ML engineers, set the data science strategy, and ensure rigorous

Qualifications

• Proven record leading data science for audience, identity, or measurement products.
• Hands-on predictive modeling on consumer-level data at scale.
• Strong grounding in measurement, causal inference, and lift tests.
• Experience with privacy-preserving analytics and data collaboration tools.

Responsibilities

• Build predictive models behind audiences, insights, and data products.
• Own segment definitions, coverage, refresh cadence, and accuracy.
• Manage the platform's Feature Store as a commercial product.
• Lead evaluation, MLOps, and responsible AI standards for models.
• Define metrics powering insights subscriptions and measurement indices.
• Lead identity and viewing product modeling and embedding strategy.
• Direct the embedding model roadmap with external partners, ensuring commercial relevance.
• Build and lead a team of data scientists and ML engineers, hiring strategically.

Skills

Predictive modeling

Leadership

Python

SQL

ML workflows

MLOps

Data integration

Communication to executives

Education

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

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

Job description

Spectrum is seeking a Head of Data Science to build and lead a large-scale data science organization in support of an AI-native behavioral intelligence platform. You will own predictive modeling, audience definitions, and measurement methodologies, while steering the embedding model and coordinating with product, sales, and external partners to drive revenue and validation with buyers.

You will manage a team of data scientists and ML engineers, set the data science strategy, and ensure rigorous