Head of Data Science — AI Embeddings & Commercial Models

Jobtome; Rahway (NJ); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to build predictive models and an embedding-based platform that powers audiences, insights, and licenses. You will own the transformer-based embedding model, set evaluation standards, and collaborate with product, sales, and partners to scope pilots and convert evaluations into contracts.

You will lead a team of data scientists and ML engineers, establish MLOps and responsible AI practices, and drive production-ready models with measurable business

Qualifications

• Proven leadership of data science teams for audience, identity, or measurement products.
• Hands-on predictive modeling on consumer data at scale with various methods.
• Strong measurement, causal inference, and experiment design experience.
• Experience with identity graphs, clean rooms, and data collaboration tools.
• Ability to explain methodology to executives and buyers.

Responsibilities

• Build predictive models for audiences and data products; define embeddings strategy.
• Own the platform’s Feature Store and calibrate model outputs with third-party data.
• Lead modeling for custom/partner audiences and clean-room workflows.
• Design and defend measurement methodology and lift analyses.
• Lead a team of data scientists and ML engineers toward production deployment.

Skills

Predictive modeling

Embeddings

Transformers

Python

SQL

ML lifecycle

Leadership

Measurement & A/B testing

Snowflake/AWS

Education

Bachelor’s Degree in Computer Science or related

Master’s or PhD in a quantitative field (preferred)

Tools

Snowflake

AWS

LiveRamp

Job description

Spectrum is seeking a Head of Data Science to build predictive models and an embedding-based platform that powers audiences, insights, and licenses. You will own the transformer-based embedding model, set evaluation standards, and collaborate with product, sales, and partners to scope pilots and convert evaluations into contracts.

You will lead a team of data scientists and ML engineers, establish MLOps and responsible AI practices, and drive production-ready models with measurable business