Head of Data Science - AI-Driven Audience Platform

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

Job summary

Spectrum Intelligence Ventures seeks a Head of Data Science to lead a high‑impact team building transformer‑based embeddings and predictive models for an AI-native platform. You will own the embedding roadmap, set evaluation standards, and partner with product and sales to scope pilots and convert them into contracts.

You will guide data science, ML engineering, and measurement scientists, ensuring rigorous experimentation, production readiness, and revenue impact while collaborating with Legal

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising/marketing.
• Hands-on predictive modeling on consumer-level data at scale with various techniques.
• Strong grounding in measurement, causal inference, and experiment design.
• Experience with privacy-preserving analytics and governance.

Responsibilities

• Lead the data science team and set a growth and experimentation cadence.
• Develop and own transformer-based embedding models and feature stores.
• Define evaluation standards and run commercial proof points with sales and customers.
• Establish MLOps, monitoring, and responsible AI practices across platforms.
• Collaborate with Legal and Privacy on product design and compliance.
• Scope pilots and evaluations with product, sales, and solutions teams.

Skills

Data science leadership

Predictive modeling

MLOps

Transformer models

Python

SQL

Cloud platforms

Education

Bachelor's degree in CS/Statistics/Math/Economics

Master's or PhD preferred

Tools

Snowflake

Databricks

AWS

Spark

Job description

Spectrum Intelligence Ventures seeks a Head of Data Science to lead a high‑impact team building transformer‑based embeddings and predictive models for an AI-native platform. You will own the embedding roadmap, set evaluation standards, and partner with product and sales to scope pilots and convert them into contracts.

You will guide data science, ML engineering, and measurement scientists, ensuring rigorous experimentation, production readiness, and revenue impact while collaborating with Legal