Head of Data Science — Embeddings & Audience Intelligence

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

Job summary

Spectrum is seeking a Head of Data Science to lead predictive modeling for audience, identity, and measurement products. You will own the embedding-based platform, set evaluation standards, and collaborate with product, sales, and partners to drive pilots to contracts.

You will build and lead a team of data scientists and ML engineers, establish MLOps standards, and ensure models perform at scale with privacy-preserving techniques and rigorous experimentation focused on revenue impact.

Qualifications

• Must lead data science for audience, identity, targeting, or measurement products.
• Hands-on predictive modeling on consumer data at scale.
• Strong grounding in measurement, attribution, and CI/CD for ML models.

Responsibilities

• Build predictive models for audience and data products.
• Own the platform's Feature Store and calibration with third-party data.
• Lead modeling for custom and partner audiences and ensure transparent evaluation.
• Design and defend measurement methodology for campaigns and subscriptions.
• Lead identity and viewing product models and ensure privacy-preserving practices.
• Direct the embedding roadmap and establish commercial evaluation standards.
• Set up MLOps, auditing, drift detection, and governance with Legal/Privacy.
• Build and lead a high-performing data science team with production deployment focus.

Skills

Predictive modeling

Measurement & causal inference

MLOps & responsible AI

Python

SQL

Cloud platforms (AWS, Snowflake)

Embeddings & transformers

Privacy-preserving analytics

Education

Bachelor's Degree in CS/Math/Statistics

Master’s or PhD in a quantitative field

Tools

Snowflake

LiveRamp

AWS

Job description

Spectrum is seeking a Head of Data Science to lead predictive modeling for audience, identity, and measurement products. You will own the embedding-based platform, set evaluation standards, and collaborate with product, sales, and partners to drive pilots to contracts.

You will build and lead a team of data scientists and ML engineers, establish MLOps standards, and ensure models perform at scale with privacy-preserving techniques and rigorous experimentation focused on revenue impact.