Chief Data Science & Embeddings Leader

Jobtome; New York (NY); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science in New York City to lead the development of predictive models, embeddings, and measurement approaches for our AI-native platform. You will own the data science lifecycle, guide an embedding roadmap, and partner with product and sales to scope pilots and convert evaluations into contracts.

This in-office role requires depth in predictive modeling, identity collaboration, and privacy-preserving analytics, with a track record of building high-performing

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising, media, or marketing
• Hands-on predictive modeling on consumer-level data at scale (propensity, response, calibration)
• Strong grounding in measurement and causal inference (incrementality, controls, test-and-holdout)
• Knowledge of identity graphs, clean rooms, and data collaboration
• Experience with feature stores and end-to-end ML lifecycle
• Proficiency in Python, SQL, and distributed processing (Spark); cloud platforms (Snowflake/AWS)
• Knowledge of embeddings, transformers, and representation learning
• Privacy-preserving analytics and consumer data regulation
• Ability to explain methodology to executives and buyers
• Track record building high-performing data science teams
• Curiosity about applying AI to consumer intelligence

Responsibilities

• Build and lead predictive models for audiences, measurement, and partner products.
• Own the platform’s Feature Store as a commercial product and ensure calibration with licensed data.
• Lead modeling for custom and partner-specific audiences with clean-room workflows.
• Design and defend measurement methodology and validation against real-world outcomes.
• Direct roadmap for the embedding model and ensure commercial lift.
• Establish evaluation, MLOps, and responsible AI standards with governance.
• Represent data science with customers and partners to translate methodology into proof points.
• Build and grow a high-performing data science team and set hiring priorities.

Skills

Data science leadership

Predictive modeling

Measurement & causal inference

Identity data collaboration

ML lifecycle

Python/SQL/Spark

Embeddings/Transformers

Privacy-preserving analytics

Communicate methodologies

Team building & recruiting

AI in consumer intelligence

Education

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

Tools

Snowflake

LiveRamp

AWS

RampID/UID2

Databricks

Spark

Job description

Spectrum is seeking a Head of Data Science in New York City to lead the development of predictive models, embeddings, and measurement approaches for our AI-native platform. You will own the data science lifecycle, guide an embedding roadmap, and partner with product and sales to scope pilots and convert evaluations into contracts.

This in-office role requires depth in predictive modeling, identity collaboration, and privacy-preserving analytics, with a track record of building high-performing