Head of Data Science & Embeddings Platform

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

Job summary

Spectrum is seeking a Head of Data Science to lead the transformation of an AI-native behavioral intelligence platform into market-ready products. You will build predictive models, define embedding-based strategies, and set evidence standards used by buyers across brands, agencies, and platforms.

You’ll own the embedding model roadmap, manage a data science team, collaborate with the Head of Technology and external partners, and establish MLOps, governance, and privacy safeguards to ensure

Qualifications

• Proven record leading data science for data, audience, identity, targeting, or measurement products in ad/marketing ecosystems.
• Deep, hands-on expertise in predictive modeling on consumer data at scale.
• Strong grounding in measurement and causal inference, including incrementality testing and synthetic controls.
• Knowledge of privacy-preserving analytics and data regulation; collaboration with Legal and Privacy.

Responsibilities

• Lead the data science team and set ambitious, measurable goals.
• Define and defend the platform’s embedding model roadmap and evaluation standards.
• Oversee feature stores, scoring pipelines, and production ML workflows.
• Collaborate with product, sales, and partners to scope pilots and drive revenue impact.
• Establish MLOps, governance, and responsible AI practices.

Skills

Data science leadership

Predictive modeling

Measurement & causal inference

Privacy-preserving analytics

Executive communication

People management

AI/ML fundamentals

Education

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

Master’s degree or PhD in quantitative field

Tools

Python

SQL

Spark

Snowflake

Databricks

AWS

Job description

Spectrum is seeking a Head of Data Science to lead the transformation of an AI-native behavioral intelligence platform into market-ready products. You will build predictive models, define embedding-based strategies, and set evidence standards used by buyers across brands, agencies, and platforms.

You’ll own the embedding model roadmap, manage a data science team, collaborate with the Head of Technology and external partners, and establish MLOps, governance, and privacy safeguards to ensure