Head of Data Science - Embeddings & AI Platforms

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

Job summary

Spectrum seeks a strategic Head of Data Science to build and lead a best-in-class data science organization. You will drive predictive modeling, embedding model development, and measurement methodologies that demonstrate value to buyers across audiences, insights, and licenses.

You will supervise a team of data scientists and ML engineers, partnering with product and sales to scope pilots and contracts. You will define repeatable, privacy-conscious workflows, manage feature stores, and ensure

Qualifications

• Bachelor's degree in a quantitative field is required.
• 7+ years leading applied data science or analytics teams.
• Experience building data, audience, identity, or measurement products for external buyers.
• Hands-on predictive modeling and measurement on consumer-level data at scale.

Responsibilities

• Lead predictive modeling for audience and measurement products.
• Own the platform's Feature Store as a commercial product.
• Build and lead a data science team and set hiring priorities.
• Establish MLOps, evaluation, and privacy standards for model deployment.

Skills

Predictive modeling

Measurement & evaluation

Embeddings & transformers

Leadership & team building

Python

SQL

Spark/Big data

Cloud platforms (AWS)

Education

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

Master's degree in Statistics/ML/Operations Research or related field

Tools

Python

SQL

Spark

Snowflake

Databricks

AWS

Job description

Spectrum seeks a strategic Head of Data Science to build and lead a best-in-class data science organization. You will drive predictive modeling, embedding model development, and measurement methodologies that demonstrate value to buyers across audiences, insights, and licenses.

You will supervise a team of data scientists and ML engineers, partnering with product and sales to scope pilots and contracts. You will define repeatable, privacy-conscious workflows, manage feature stores, and ensure