Head of Data Science, Embeddings & Platform

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

Job summary

Spectrum is seeking a Head of Data Science to lead the embedding model and scale data-driven products across audiences, insights, and measurement. You will own the embedding roadmap and drive production-ready ML capabilities with external partners.

You will manage a team of data scientists and ML engineers, collaborate with product and sales, and ensure models meet performance, privacy, and business goals in a fast-paced, AI-driven environment.

Qualifications

• Proven record leading data science for data, audience, identity, targeting, or measurement products in the advertising, media, or marketing ecosystem.
• Deep, hands-on expertise in predictive modeling on consumer-level data at scale.
• Strong grounding in measurement and causal inference.
• Working knowledge of identity and data collaboration: household and device graphs, onboarding and match rates, clean rooms.
• Command of the full data science lifecycle in production, from feature engineering through training, validation, deployment, monitoring, and iteration.
• Hands-on proficiency with Python, SQL, and distributed data processing (Spark).
• Solid working knowledge of deep learning and representation learning, including embeddings, sequence models, and transformers.
• Familiarity with privacy-preserving analytics and consumer data regulation.
• Ability to explain methodology clearly to executives, sellers, and buyers.
• Track record of building and growing high-performing data science teams.
• Curiosity about AI in consumer intelligence.

Responsibilities

• Build and run predictive models behind audience and data products.
• Own the platform’s Feature Store as a commercial product and automate feature creation.
• Lead modeling for custom and partner-specific audiences.
• Design and defend the platform’s measurement methodology with lift and controls.
• Lead the data science behind identity and viewing products and calibration.
• Direct the roadmap for the embedding model with external partners.
• Establish MLOps, evaluation standards, and privacy safeguards.
• Build and lead a data science team with a bias toward production deployment.
• Translate methodology into clear commercial proof points.

Skills

Data science leadership

Predictive modeling

Causal inference

Identity data collaboration

ML lifecycle

Python

SQL

Spark

Deep learning

Privacy-preserving analytics

Communication to executives

Team leadership

AI in consumer intelligence

7+ years leadership

10+ years data science

Senior ad/marketing data leadership

Embeddings deployment

Education

Bachelor’s Degree in Computer Science/Statistics/Mathematics or related field

Master’s degree or PhD in quantitative field (preferred)

Tools

Python

SQL

Spark

Job description

Spectrum is seeking a Head of Data Science to lead the embedding model and scale data-driven products across audiences, insights, and measurement. You will own the embedding roadmap and drive production-ready ML capabilities with external partners.

You will manage a team of data scientists and ML engineers, collaborate with product and sales, and ensure models meet performance, privacy, and business goals in a fast-paced, AI-driven environment.