Head of Data Science & Embeddings

Jobtome; Town of Harrison (WI); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to build predictive models for a transformer-based behavioral embedding platform. You’ll own the embedding roadmap, lead a data science team, and work with external partners to ensure commercial validity of models and metrics.

You will collaborate with Legal and Privacy to implement responsible AI standards, and report to the Head of Intelligence Ventures. This is an in-office role based in New York City with a focus on production-scale data science and

Qualifications

• Proven record leading data science for audience/identity/measurement products.
• Hands-on predictive modeling on consumer data at scale.
• Strong grounding in measurement, causality, and incrementality.
• Experience with identity graphs, onboardings, clean rooms and data collaboration.
• Full data science lifecycle from feature engineering to deployment in production.

Responsibilities

• Lead predictive models for audiences, outcomes, and measurement products.
• Oversee Feature Store as a commercial product and establish evaluation standards.
• Define and defend measurement methodology with rigorous validation.
• Build and lead a team of data scientists and ML engineers.
• Collaborate with product, sales, and partners to scope pilots and contracts.

Skills

Predictive modeling

Data science leadership

MLOps & production

Python

SQL

Communication with executives

Privacy & ethics

Education

Bachelor’s Degree in Computer Science/Statistics/Math/Economics

Master’s degree or PhD in related quantitative field

Tools

Snowflake

AWS

Databricks

Spark

LiveRamp

Job description

Spectrum is seeking a Head of Data Science to build predictive models for a transformer-based behavioral embedding platform. You’ll own the embedding roadmap, lead a data science team, and work with external partners to ensure commercial validity of models and metrics.

You will collaborate with Legal and Privacy to implement responsible AI standards, and report to the Head of Intelligence Ventures. This is an in-office role based in New York City with a focus on production-scale data science and