Director of Data Science for AI-Driven Ads & Measurement

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

Job summary

Spectrum is seeking a Head of Data Science to lead the data science organization and own the embedding model roadmap for its AI-native behavioral intelligence platform. You will build predictive models for audiences, measurements, and partner products, and ensure rigorous evaluation, MLOps, and responsible AI practices in collaboration with product, sales, and legal teams.

You will lead a team of data scientists and ML engineers, set hiring priorities, and drive production deployment with a

Qualifications

• Experience leading applied data science or analytics teams (7 years).
• Hands-on predictive modeling on consumer data at scale (10 years).
• Strong background in measurement, incrementality, and causal inference.
• Experience with privacy-preserving analytics and data regulation.
• Ability to explain methodology to executives and buyers.

Responsibilities

• Build predictive models for audience and data products.
• Lead embedding model roadmap and commercial standards.
• Define evaluation, MLOps, and responsible AI standards.
• Build and mentor a high-performing data science team.
• Collaborate with product, sales, and partners on pilots and evaluations.

Skills

Data science leadership

Predictive modeling

Measurement & inference

Privacy-preserving analytics

Python & SQL

Distributed processing

Executive communication

Education

Bachelor's in CS/Stats/Math

Master's or PhD preferred

Tools

Snowflake

Databricks

AWS

Feature store design

Job description

Spectrum is seeking a Head of Data Science to lead the data science organization and own the embedding model roadmap for its AI-native behavioral intelligence platform. You will build predictive models for audiences, measurements, and partner products, and ensure rigorous evaluation, MLOps, and responsible AI practices in collaboration with product, sales, and legal teams.

You will lead a team of data scientists and ML engineers, set hiring priorities, and drive production deployment with a