Head of Data Science: Embeddings & Audience Intelligence

Jobtome; Nebraska; On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to build predictive models and lead the embedding platform. You will set the evidence standards, scoping pilots with product and sales, and translating evaluations into contracts.

This role includes ownership of the embedding model and collaboration with external partners and Legal for privacy and compliance. You will build and lead a team of data scientists and ML engineers, driving production deployment and revenue impact, with a focus on measurable

Qualifications

• Proven leadership of data science for audience/measurement products.
• Hands-on predictive modeling on scale with diverse methods.
• Strong grounding in measurement/causal inference.
• Experience with identity/data collaboration and clean rooms.
• Full data science lifecycle from feature engineering to deployment.
• Proficiency with Python, SQL, and distributed processing.
• Understanding of embeddings and transformer-based models.
• Awareness of privacy-preserving analytics and compliance.

Responsibilities

• Build and lead predictive models for audiences and data products.
• Own segment definitions, coverage, and accuracy across platforms.
• Oversee the platform's Feature Store as a commercial product.
• Lead evaluation, MLOps, and responsible AI standards.
• Direct roadmap for transformer-based embedding model and integration.
• Serve as the senior data science voice with customers and partners.

Skills

Lead teams

Predictive modeling

Measurement science

Python

SQL

Distributed processing

Deep learning

Education

Bachelor's Degree in a quantitative field

Master's degree or PhD (preferred)

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

Job description

Spectrum is seeking a Head of Data Science to build predictive models and lead the embedding platform. You will set the evidence standards, scoping pilots with product and sales, and translating evaluations into contracts.

This role includes ownership of the embedding model and collaboration with external partners and Legal for privacy and compliance. You will build and lead a team of data scientists and ML engineers, driving production deployment and revenue impact, with a focus on measurable