Head of Data Science: Embeddings & Platform Leader

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

Job summary

Spectrum is seeking a Head of Data Science to lead a team building transformer‑based embeddings and predictive models powering a large AI‑native behavioral intelligence platform. You will own the embedding model roadmap, set evaluation standards, and collaborate with product and sales to scope pilots and convert evaluations into contracts.

You will drive MLOps, ensure privacy and responsible AI, and steward the analytical platform across audiences, insights, and measurement, delivering

Qualifications

• Proven record leading data science for data, audience, identity, targeting, or measurement products in advertising, media, or marketing ecosystems.
• Deep, hands‑on expertise in predictive modeling on consumer‑level data at scale including propensity, calibration, segmentation, and lookalike modeling.
• Strong grounding in measurement, attribution, and causal inference with test designs and controls.

Responsibilities

• Build and lead predictive models behind audiences and data products across multiple verticals.
• Own the platform's Feature Store as a commercial product with documented features.
• Lead evaluation, MLOps, and responsible AI standards for deployed models.
• Direct the roadmap for the transformation-based embedding model with external partners.
• Develop repeatable data-clean-room workflows with transparent match rates and performance metrics.
• Scope pilots and evaluations with product, sales, and partners and translate results into contracts.

Skills

Data science leadership

Predictive modeling

Measurement science

Identity/data collaboration

Python/SQL

Deep learning

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 a team building transformer‑based embeddings and predictive models powering a large AI‑native behavioral intelligence platform. You will own the embedding model roadmap, set evaluation standards, and collaborate with product and sales to scope pilots and convert evaluations into contracts.

You will drive MLOps, ensure privacy and responsible AI, and steward the analytical platform across audiences, insights, and measurement, delivering