Head of Data Science: Embeddings & AI Platform

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

Job summary

Spectrum is seeking a Head of Data Science to build predictive models and embeddings for its AI-native behavioral intelligence platform. You will lead a team, establish evaluation standards, and work with product and sales to scope pilots and turn evaluations into contracts.

You will own the Feature Store as a product, ensure privacy-preserving analytics, and drive measurement methodology across audiences, insights, and partner models.

Qualifications

• Experience leading data science teams in advertising, measurement, or related data products.
• Hands-on predictive modeling on consumer data at scale, including propensity and effectiveness modelling.
• Strong grounding in privacy-preserving analytics and regulatory considerations.
• Ability to explain methodology clearly to executives, sellers, and buyers.
• Bachelor's degree in a quantitative field.

Responsibilities

• Build predictive models behind audience and data products across multiple verticals.
• Own the platform's Feature Store as a commercial product: named, typed, versioned, and documented.
• Define and defend the platform's measurement methodology with validation and controls.
• Lead the embedding model roadmap and evaluation standards with external partners.
• Lead a team of data scientists and ML engineers focused on production deployment and revenue impact.
• Collaborate with product, sales, and solutions to scope pilots and convert evaluations into contracts.

Skills

Predictive modeling

Propensity modeling

Causal inference

Identity graphs

Feature stores

Python

SQL

Spark

Deep learning

Embeddings

Leadership

Communication

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

Snowflake

LiveRamp

AWS

Databricks

Job description

Spectrum is seeking a Head of Data Science to build predictive models and embeddings for its AI-native behavioral intelligence platform. You will lead a team, establish evaluation standards, and work with product and sales to scope pilots and turn evaluations into contracts.

You will own the Feature Store as a product, ensure privacy-preserving analytics, and drive measurement methodology across audiences, insights, and partner models.