Head of Data Science: Embeddings & Commercial Models

Jobtome; Woodbridge Township (MI); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to design and lead predictive models and the proprietary embedding platform that underpins audience, insights, and measurement products. You will own the data science roadmap, drive privacy-conscious standards, and partner with product and sales to scope pilots.

You will build and lead a team of data scientists and ML engineers, ensuring production-ready models with measurable lift, and communicate complex methodology to executives and clients alike.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising/marketing.
• Hands-on predictive modelling on consumer data at scale with various methods.
• Strong measurement and causal inference experience including incrementality testing.
• Knowledge of privacy-preserving analytics and data regulation, with Legal/Privacy partner alignment.

Responsibilities

• Lead the data science team and set hiring priorities for high-performing talent.
• Build predictive models and embedding-based products for audiences and measurement.
• Own feature stores and calibration against licensed third-party outcome data.
• Define evaluation standards and ensure models meet commercial proof points.
• Collaborate with product, sales, and solutions to scope pilots and convert evaluations into contracts.
• Represent data science with customers and partners to demonstrate value and ROI.

Skills

Predictive modelling

Machine learning

Deep learning

Embeddings

Python

SQL

Distributed processing

Model evaluation

Education

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

Tools

Snowflake

Databricks

AWS

Spark

LiveRamp

Job description

Spectrum is seeking a Head of Data Science to design and lead predictive models and the proprietary embedding platform that underpins audience, insights, and measurement products. You will own the data science roadmap, drive privacy-conscious standards, and partner with product and sales to scope pilots.

You will build and lead a team of data scientists and ML engineers, ensuring production-ready models with measurable lift, and communicate complex methodology to executives and clients alike.