Head of Data Science - Embeddings & Audience Intelligence

Jobtome; Garwood (TX); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to build predictive models and leading embedding‑based products for a data‑driven platform. You will direct the data science team, set evaluation standards, and partner with technology and sales to drive pilots, proofs, and revenue.

You will establish responsible‑AI practices, feature stores, and scalable workflows while guiding strategy, architecture, and performance benchmarks across audiences, measurement, and partner models.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products.
• Hands‑on predictive modeling on consumer data at scale.
• Strong grounding in measurement and causal inference.
• Ability to explain methodology to executives and buyers.

Responsibilities

• Build and run the predictive models behind the platform's audience and data products.
• Own segment definitions, coverage, refresh cadence, and measured accuracy for every audience.
• Own the platform's Feature Store as a commercial product.
• Lead the evaluation, MLOps, and responsible AI standards for shipped models.
• Direct the embedding model roadmap with external partners and internal teams.
• Build and lead a data science team and set hiring priorities and cadence.

Skills

Predictive modeling

Deep learning embeddings

Python

SQL

MLOps

Education

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

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

Tools

Snowflake

Databricks

AWS

Job description

Spectrum is seeking a Head of Data Science to build predictive models and leading embedding‑based products for a data‑driven platform. You will direct the data science team, set evaluation standards, and partner with technology and sales to drive pilots, proofs, and revenue.

You will establish responsible‑AI practices, feature stores, and scalable workflows while guiding strategy, architecture, and performance benchmarks across audiences, measurement, and partner models.