Head of Data Science - Embedding-Driven AI Leader

Jobtome; Jersey City (NJ); 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 embedding-based products that power audience, insights, and measurement offerings. You will own the platform's transformer-based embedding model, drive ML engineering practices, and ensure privacy-preserving analytics are built in from the start.

You will lead a team of data scientists and ML engineers, collaborate with product and sales, and establish evidence-driven standards to win customer trust and

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising and media ecosystems.
• Deep, hands-on predictive modeling on consumer-level data at scale.
• Strong grounding in measurement, causal inference, and incremental testing.
• Familiarity with privacy-preserving analytics and data regulation.
• Ability to lead end-to-end data science lifecycle in production at scale.
• Excellent communication with executives, sales, and customers.

Responsibilities

• Build and run predictive models behind the platform's audiences and data products.
• Own the Feature Store as a commercial product: named, typed, versioned, and documented features.
• Lead evaluation, MLOps, and responsible AI standards for deployed models.
• Define measurement methodology and conduct validation against real-world outcomes.
• Lead and grow a data science team, setting hiring priorities and cadence.
• Scope pilots and evaluations with product, sales, and solutions teams.

Skills

Predictive modeling at scale

Embeddings / transformers

Measurement / causal inference

Privacy-preserving analytics

Leadership & hiring

Communication with executives

MLOps / production ML lifecycle

Education

Bachelor's in CS/Statistics/Math/Economics

Master's degree or PhD preferred

Tools

Python

SQL

Spark

Snowflake

LiveRamp

AWS

Databricks

Job description

Spectrum is seeking a Head of Data Science to lead the development of predictive models and embedding-based products that power audience, insights, and measurement offerings. You will own the platform's transformer-based embedding model, drive ML engineering practices, and ensure privacy-preserving analytics are built in from the start.

You will lead a team of data scientists and ML engineers, collaborate with product and sales, and establish evidence-driven standards to win customer trust and