Head of Data Science: Embeddings & AI Platform Leadership

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

Job summary

Spectrum is seeking a Head of Data Science to build and lead the team responsible for the platform's predictive models, embedding layer, and measurement methodologies. You will collaborate with product, sales, and technology to scope pilots, answer technical buyers, and convert evaluations into contracts.

You will own the data science lifecycle, lead feature store development, and establish responsible AI standards, including privacy-preserving techniques.

Qualifications

• Proven record leading data science for data, audience, identity, targeting, or measurement products in advertising, media, or marketing ecosystems.
• Hands-on predictive modeling on consumer-level data at scale, including propensity, calibration, segmentation, and lookalike modeling.
• Experience with evaluation, bias/fairness testing, and privacy-preserving analytics in production systems.
• Ability to explain methodology clearly to executives, sellers, and buyers.

Responsibilities

• Build and lead the predictive models behind the platform’s audiences and data products.
• Own the platform’s Feature Store and calibrate models against licensed third-party outcome data to ensure accurate scores.
• Lead embedding model development and set evaluation standards with external partners.
• Define measurement methodology and ensure robustness against scrutiny from buyers and partners.
• Build and manage a data science team with a culture of rigorous experimentation and production deployment.

Skills

Data science leadership

Predictive modeling

Measurement and causal inference

Privacy-preserving analytics

Python

SQL

MLOps

Communication to executives

Education

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

Master’s degree or PhD in related quantitative discipline

Tools

Snowflake

LiveRamp

RampID

UID2

Databricks

AWS

Job description

Spectrum is seeking a Head of Data Science to build and lead the team responsible for the platform's predictive models, embedding layer, and measurement methodologies. You will collaborate with product, sales, and technology to scope pilots, answer technical buyers, and convert evaluations into contracts.

You will own the data science lifecycle, lead feature store development, and establish responsible AI standards, including privacy-preserving techniques.