Head of Data Science for AI-Driven Behavioral Platform

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

Job summary

Spectrum is seeking a Head of Data Science in NYC to lead a team building predictive models for audiences, embeddings, and measurement products. You will own the embedding model roadmap, set evaluation standards, and collaborate with product, sales, and partners to scope pilots and convert evaluations into contracts.

You will drive MLOps, responsible AI, and privacy-preserving practices, while reporting to the Head of Intelligence Ventures and guiding senior data scientists and engineers toward

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising ecosystems.
• Hands-on predictive modeling on consumer-level data at scale (propensity, segmentation, lookalike).
• Strong grounding in measurement, attribution, and causal inference.
• Experience with privacy-preserving analytics and regulatory considerations.

Responsibilities

• Build and run predictive models for audiences and data products.
• Lead a data science team of scientists and ML engineers.
• Define measurement methodology for campaigns and lift.
• Collaborate with product, sales, and solutions teams to scope pilots.

Skills

Predictive modeling

Audience modeling

ML engineering

Python

SQL

Communication with executives

Leadership

Privacy & compliance awareness

Education

Bachelor's Degree in Computer Science, Statistics, Mathematics, Economics, or related

Master's degree or PhD in Statistics, Machine Learning, Econometrics, Operations Research, or related quantitative discipline

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

Job description

Spectrum is seeking a Head of Data Science in NYC to lead a team building predictive models for audiences, embeddings, and measurement products. You will own the embedding model roadmap, set evaluation standards, and collaborate with product, sales, and partners to scope pilots and convert evaluations into contracts.

You will drive MLOps, responsible AI, and privacy-preserving practices, while reporting to the Head of Intelligence Ventures and guiding senior data scientists and engineers toward