Head of Data Science — Embeddings & Measurement

Jobtome; Kenilworth (UT); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to lead the development of predictive models and the embedding-based platform. You will own the data science strategy, validate model performance, and drive revenue by enabling pilots, data licenses, and measured outcomes.

You will manage a team of data scientists and ML engineers, partnering with product and sales to translate methodology into business value. The role requires strong expertise in predictive modeling, deep learning, and

Qualifications

• Bachelor's degree in CS, statistics, mathematics, economics, or related field.
• 10+ years of hands-on predictive modeling on consumer data at scale.
• 7+ years leading applied data science or analytics teams.
• Experience with privacy-preserving analytics and consent management.
• Ability to communicate methodology to executives and buyers.

Responsibilities

• Build predictive models behind the platform's audience and data products.
• Define measurement methodology, evaluation, and validation.
• Lead the embedding model roadmap and feature store development.
• Build and lead a high‑performing data science team.
• Collaborate with product, sales, and partnerships to scope pilots and contracts.

Skills

Predictive modeling

Machine learning

Python

SQL

Cloud platforms

Deep learning

Embeddings

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Databricks

AWS

Spark

TensorFlow

Keras

Job description

Spectrum is seeking a Head of Data Science to lead the development of predictive models and the embedding-based platform. You will own the data science strategy, validate model performance, and drive revenue by enabling pilots, data licenses, and measured outcomes.

You will manage a team of data scientists and ML engineers, partnering with product and sales to translate methodology into business value. The role requires strong expertise in predictive modeling, deep learning, and