Head of Data Science — Embeddings & Revenue Impact (NYC)

Jobtome; Port Washington (NY); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to lead predictive modeling, embedding strategies, and measurement products for a large AI-native platform. This role shapes the portfolio, defines evidence standards, and collaborates with product and sales to scope pilots and convert evaluations into contracts.

You will build and lead a team of data scientists and ML engineers, govern the transformer-based embedding model, and partner with Legal and Privacy to ensure responsible AI.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products.
• Strong experience with predictive modeling on consumer-level data at scale.
• Experience with identity graphs, clean rooms, and data collaboration.
• Ability to explain methodology clearly to executives, sellers, and buyers.
• Track record of building and growing high-performance data science teams.

Responsibilities

• Build and run predictive models behind data products for audiences and measurement.
• Own segment definitions, coverage, refresh cadence, and accuracy.
• Lead the embedding model roadmap and commercial standards for features.
• Define measurement methodologies and control designs for proof points.
• Direct the data science team and hire senior talent; enable production deployment.

Skills

Leadership in data science

Product & sales collaboration

ML modeling at scale

Embeddings / transformers

Privacy & ethics

Education

Experience leading teams: 7 years

Predictive modeling: 10 years

Tools

Python

SQL

Spark

Snowflake

Databricks

AWS

Job description

Spectrum is seeking a Head of Data Science to lead predictive modeling, embedding strategies, and measurement products for a large AI-native platform. This role shapes the portfolio, defines evidence standards, and collaborates with product and sales to scope pilots and convert evaluations into contracts.

You will build and lead a team of data scientists and ML engineers, govern the transformer-based embedding model, and partner with Legal and Privacy to ensure responsible AI.