Head of Data Science — Embeddings & Measurement

Jobtome; Village of Malverne (NY); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to lead predictive modeling, embedding development, and platform analytics for our AI-native behavioral intelligence platform. You will own the embedding model roadmap, set evaluation standards, and drive production-grade solutions with cross-functional teams in product and sales.

You’ll establish MLOps, privacy-preserving methods, and responsible AI practices, while building and directing a data science team that delivers measurable revenue impact and

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 plus propensity and response modeling.
• Knowledge of measurement, attribution, and causal inference methods.

Responsibilities

• Build predictive models for audiences, measurement, and placement.
• Own the Feature Store as a product: features, versioning, documentation.
• Lead the embedding model roadmap and evaluation standards with external partners.
• Establish MLOps, monitoring, drift detection, and privacy-preserving approaches.
• Lead a data science team and scope pilots with product and sales teams.

Skills

Data science leadership

Propensity modeling

Measurement & causal inference

Identity & data collaboration

Python/SQL

Distributed processing (Spark)

Deep learning / embeddings

Education

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

Master's degree or PhD preferred

Tools

Snowflake

LiveRamp

AWS

Databricks

TensorFlow/PyTorch

Job description

Spectrum is seeking a Head of Data Science to lead predictive modeling, embedding development, and platform analytics for our AI-native behavioral intelligence platform. You will own the embedding model roadmap, set evaluation standards, and drive production-grade solutions with cross-functional teams in product and sales.

You’ll establish MLOps, privacy-preserving methods, and responsible AI practices, while building and directing a data science team that delivers measurable revenue impact and