Head of Data Science - Embeddings & Commercial ML

Jobtome; Moonachie (NJ); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to build and lead a team that creates predictive models and transformer-based embeddings for its AI-native platform. You will set evidence standards, scope pilots with product and sales, and work with external partners to ensure commercial success.

You will own the embedding model roadmap, run responsible AI practices, and collaborate with Legal and Privacy to meet regulatory requirements while delivering measurable lift for buyers and partners.

Qualifications

• Proven record leading data science for audience or measurement products at scale.
• Hands-on predictive modeling with segmentation, propensity, and lookalikes.
• Strong understanding of measurement, causal inference, and lift-based evaluation.
• Experience with identity graphs, clean rooms, and data collaboration tools.
• Ability to design end-to-end ML pipelines from feature engineering to deployment.

Responsibilities

• Lead predictive models behind audience and data products across verticals.
• Own segment definitions, coverage, refresh cadence, and accuracy.
• Oversee the platform's Feature Store as a commercial product.
• Lead evaluation, MLOps, and responsible AI standards for models.
• Direct roadmap for transformer-based embedding model with external partners.
• Build and manage a data science team aligned to product and revenue impact.
• Partner with product, sales, and solutions teams to scope pilots and contracts.

Skills

Data science leadership

Predictive modeling

Machine learning

Embeddings / representation learning

Python

SQL

Distributed processing

Model evaluation & MLOps

Privacy & compliance

Communication with executives

Education

Bachelor's Degree in CS/Statistics/Math

Master's degree or PhD preferred

Tools

Snowflake

Databricks

AWS

Spark

LiveRamp

feature stores

Job description

Spectrum is seeking a Head of Data Science to build and lead a team that creates predictive models and transformer-based embeddings for its AI-native platform. You will set evidence standards, scope pilots with product and sales, and work with external partners to ensure commercial success.

You will own the embedding model roadmap, run responsible AI practices, and collaborate with Legal and Privacy to meet regulatory requirements while delivering measurable lift for buyers and partners.