Head of Data Science — Embeddings & Commercial AI Platform

Jobtome; Waterford Charter Township (MI); 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 and embedding-based products. You will set evidence standards, scope pilots with product and sales, and drive models that scale across multiple audiences and partners.

You will own the embedding model roadmap, work with external partners, and establish responsible AI and ML Ops practices to ensure measurable business impact and compliance.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products.
• Hands-on predictive modeling on consumer-level data at scale.
• Strong grounding in measurement and causal inference, including incrementality testing and controls.
• Knowledge of identity graphs, clean rooms, and licensed third-party data usage.
• Proficiency in Python, SQL, and distributed processing; experience on Snowflake/AWS.
• Familiarity with privacy-preserving analytics and regulatory considerations.

Responsibilities

• Build predictive models behind the platform's audience and data products.
• Own segment definitions, coverage, refresh cadence, and accuracy for every audience.
• Lead the platform's Feature Store as a commercial product with documented features.
• Define evaluation, ML Ops, and responsible AI standards for deployed models.
• Lead embedding-model roadmap with external partners and ensure commercial standards.
• Build and lead a data science team focused on production deployment and revenue impact.

Skills

Data science leadership

Predictive modeling

Measurement & causal inference

Privacy & data governance

Python

SQL

Spark

Education

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

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

Job description

Spectrum is seeking a Head of Data Science to build and lead the team responsible for the platform's predictive models and embedding-based products. You will set evidence standards, scope pilots with product and sales, and drive models that scale across multiple audiences and partners.

You will own the embedding model roadmap, work with external partners, and establish responsible AI and ML Ops practices to ensure measurable business impact and compliance.