Head of Data Science: Embeddings & Behavioral Intelligence

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

Benefits offered by this job

Benefits package

Job summary

Spectrum is seeking a Head of Data Science to build the models behind an AI-native behavioral intelligence platform and lead a team of data scientists, ML engineers, and measurement scientists. The role focuses on embedding models, audience and data products, and proving value to buyers through rigorous evaluation and trusted data practices.

You will own the platform’s embedding strategy, supervise model performance, and work with product and sales to scope pilots, answer buyers, and convert

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising/marketing.
• Hands‑on predictive modeling on consumer data at scale.
• Strong grounding in measurement and causal inference.

Responsibilities

• Build predictive models for audience and data products across multiple verticals.
• Lead the embedding model roadmap and scalable feature store.
• Define evaluation methods, gates, drift monitoring, and privacy controls.
• Drive MLOps, responsible AI standards, and compliance with legal/privacy.

Skills

Lead data science

Predictive modeling

Measurement & causal inference

Identity & data collaboration

ML lifecycle & feature stores

Python & SQL

Deep learning & embeddings

Privacy-preserving analytics

Explain methodology to execs

Build & grow teams

Curiosity about AI in consumer intel

Education

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

Tools

Snowflake

LiveRamp

AWS

Job description

Spectrum is seeking a Head of Data Science to build the models behind an AI-native behavioral intelligence platform and lead a team of data scientists, ML engineers, and measurement scientists. The role focuses on embedding models, audience and data products, and proving value to buyers through rigorous evaluation and trusted data practices.

You will own the platform’s embedding strategy, supervise model performance, and work with product and sales to scope pilots, answer buyers, and convert