Head of Data Science & Embeddings Platform

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

Job summary

Spectrum is building an AI-native behavioral intelligence platform. The Head of Data Science leads predictive modeling, audience and measurement products, and the embedding model, reporting to the Head of Intelligence Ventures.

Based in the U.S., this role partners 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 standards, and ensure privacy-preserving analytics

Qualifications

• Bachelor's degree in CS, Statistics, Mathematics, Economics, or related field.
• Proven leadership of applied data science and analytics teams.
• Hands-on predictive modeling on consumer-level data at scale.

Responsibilities

• Lead predictive modeling for audience and data products across verticals.
• Own feature stores, segmentation, and measurement methodology.
• Define and defend evaluation, privacy, and responsible AI standards.
• Scope pilots with product and sales; convert evaluations into contracts.
• Build and lead a team of data scientists and ML engineers.
• Collaborate with Legal/Privacy on data usage and compliance.

Skills

Data science leadership

Predictive modeling

Measurement science

Identity & data collaboration

Deep learning

Python

SQL

Spark

MLOps

Communication

Education

Bachelor's Degree in quantitative field

Tools

Snowflake

LiveRamp

AWS

Databricks

Job description

Spectrum is building an AI-native behavioral intelligence platform. The Head of Data Science leads predictive modeling, audience and measurement products, and the embedding model, reporting to the Head of Intelligence Ventures.

Based in the U.S., this role partners 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 standards, and ensure privacy-preserving analytics