Head of Data Science — Embeddings & Audience Models

Jobtome; Roselle (IL); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum Intelligence Ventures, part of Spectrum, is seeking a Head of Data Science to build and lead the data science org that powers a transformative AI-native behavioral intelligence platform. The leader will own the embedding model, drive pilots to contracts, and ensure measurable performance across audiences and measurement products.

The role requires deep expertise in predictive modeling, MLOps, and strong executive communication.

Qualifications

• Proven track leading data science teams in advertising, media, or marketing ecosystems.
• Hands-on predictive modeling on consumer-level data at scale.
• Strong grounding in measurement and causal inference methodologies.
• Working knowledge of identity, data collaboration, and clean rooms.
• Ability to explain complex methodology to executives and buyers.
• Track record of building and growing high-performing data science teams.

Responsibilities

• Build and run predictive models behind the platform's audiences and data products.
• Own segment definitions, coverage, refresh cadence, and accuracy for audiences.
• Lead the platform's Feature Store as a commercial product (features, versioning, documentation).
• Lead evaluation, MLOps, and responsible AI standards with release gates and drift monitoring.
• Direct the embedding model roadmap with external partners and commercial goals.
• Build and lead a data science team with production-oriented culture and revenue impact.

Skills

Predictive modeling

MLOps

Strategic leadership

Executive communication

Team building

Education

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

Master's degree or PhD preferred

Tools

Python

SQL

Spark

Snowflake

Job description

Spectrum Intelligence Ventures, part of Spectrum, is seeking a Head of Data Science to build and lead the data science org that powers a transformative AI-native behavioral intelligence platform. The leader will own the embedding model, drive pilots to contracts, and ensure measurable performance across audiences and measurement products.

The role requires deep expertise in predictive modeling, MLOps, and strong executive communication.