Head of Data Science: AI Embeddings & Platform Leader

Jobtome; Oklahoma; On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to lead the team building our transformer‑based behavioral embedding model and related audience, measurement, and data products. You’ll collaborate with product, sales, and legal to scope pilots, answer technical buyers, and drive evaluations to contracts.

The role directs the embedding roadmap, establishes MLOps and responsible‑AI standards, and reports to the Head of Intelligence Ventures. In‑office in New York preferred.

Qualifications

• Proven leadership of data science teams
• Hands-on predictive modeling on consumer data at scale
• Strong grounding in measurement & causal inference
• Experience with identity graphs, clean rooms & data collaboration
• Ability to explain methodology to executives & buyers
• Track record of delivering commercial impact through data science

Responsibilities

• Build and run predictive models behind audience and data products.
• Own segment definitions, coverage and accuracy for audiences.
• Lead the platform's Feature Store as a commercial product.
• Design evaluation, MLOps, and responsible AI standards for models.
• Direct the embedding model roadmap with external partners.
• Collaborate with product, sales, and solutions to scope pilots and contracts.
• Lead a team of data scientists and ML engineers toward production deployment.

Skills

Lead data science teams

Predictive modeling at scale

Measurement & causal inference

Python, SQL, distributed processing

Privacy-preserving analytics

Executive storytelling

Education

Bachelor's Degree in CS/Stats/Math/Economics

Tools

Snowflake

LiveRamp

AWS

Databricks

Job description

Spectrum is seeking a Head of Data Science to lead the team building our transformer‑based behavioral embedding model and related audience, measurement, and data products. You’ll collaborate with product, sales, and legal to scope pilots, answer technical buyers, and drive evaluations to contracts.

The role directs the embedding roadmap, establishes MLOps and responsible‑AI standards, and reports to the Head of Intelligence Ventures. In‑office in New York preferred.