Head of Data Science - Embeddings & Commercial Impact

Jobtome; Glen Rock (York County); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to lead the development of its AI-native behavioral intelligence platform. You will build predictive models for audiences, ownership of the embedding layer, and a rigorous measurement framework to satisfy buyers.

You will also steer the data science team and collaborate with product and sales on pilots and contracts. The role requires strong leadership, deep experience in predictive modeling at scale, and a track record of delivering commercially

Qualifications

• PhD or Master’s is a plus but not required; advanced degree valued
• Experience leading data science teams that build data/audience/identity/measurement products
• Hands-on predictive modeling and measurement science on consumer-level data at scale

Responsibilities

• Build predictive models for audience and data products
• Own segment definitions, coverage, and accuracy for audiences
• Lead the platform's Feature Store and commercial features
• Lead evaluation, MLOps, and responsible AI standards
• Direct roadmap for transformer-based embedding model
• Serve as data science voice with customers and partners
• Build and lead a data science team with a production-focused culture

Skills

Leadership in data science teams

Predictive modeling

MLOps

Privacy-preserving analytics

Python

SQL

Distributed processing (Spark)

Transformer models

Measurement & causal inference

Education

Bachelor's Degree in a quantitative field

Tools

Snowflake

LiveRamp

AWS

Databricks

Job description

Spectrum is seeking a Head of Data Science to lead the development of its AI-native behavioral intelligence platform. You will build predictive models for audiences, ownership of the embedding layer, and a rigorous measurement framework to satisfy buyers.

You will also steer the data science team and collaborate with product and sales on pilots and contracts. The role requires strong leadership, deep experience in predictive modeling at scale, and a track record of delivering commercially