Head of Data Science — Embeddings & AI Platform Lead

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

Job summary

Spectrum is seeking a Head of Data Science to lead a high‑impact data platform and embedding model development in New York. You will design predictive models, set measurement standards, and collaborate with product, sales, and partners to scope pilots and convert evaluations into contracts.

You will build and lead a team of data scientists and ML engineers, driving responsible AI practices and scalable, revenue‑driven data products across audiences, insights, and data licenses.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising/marketing.
• Deep hands-on predictive modeling on consumer data at scale (propensity, calibration, segmentation).
• Strong grounding in measurement, causal inference, and experiment design.
• Knowledge of data collaboration: identity graphs, clean rooms, and licensed third‑party data.

Responsibilities

• Build and run predictive models for audiences and data products across verticals.
• Own segment definitions, coverage, refresh cadence, and accuracy of audiences.
• Lead the platform's embedding model roadmap and feature store as a commercial product.
• Establish evaluation, MLOps, and responsible AI standards; ensure privacy-preserving practices.
• Lead a team of data scientists and ML engineers; drive production deployment and revenue impact.

Skills

Predictive modeling

Measurement & causal inference

Data governance

Executive communication

Education

Bachelor's Degree in Computer Science, Statistics, Mathematics, Economics, or related field

Master's degree or PhD in Statistics, ML, Econometrics or related

Tools

Snowflake

LiveRamp

AWS

Databricks

Python

SQL

Job description

Spectrum is seeking a Head of Data Science to lead a high‑impact data platform and embedding model development in New York. You will design predictive models, set measurement standards, and collaborate with product, sales, and partners to scope pilots and convert evaluations into contracts.

You will build and lead a team of data scientists and ML engineers, driving responsible AI practices and scalable, revenue‑driven data products across audiences, insights, and data licenses.