Head of Data Science & Embeddings Platform

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

Benefits offered by this job

Equal Opportunity Employer

Life at Spectrum

Job summary

Spectrum is seeking a Head of Data Science to lead the development of predictive models and the embedding-based platform that powers audience, insights, and measurement products. You will own the Feature Store, drive evaluation standards, and coordinate with product, sales, and external partners to scope pilots and convert evaluations into contracts.

You will manage a team of data scientists and ML engineers, champion rigorous experimentation, and ensure privacy-preserving analytics while

Qualifications

• 7+ years leading analytics teams building data, audience, identity, or measurement products.
• 10 years hands-on predictive modeling on consumer data at scale.
• Strong grounding in measurement with causal inference and experiment design.
• Knowledge of privacy-preserving analytics and data regulation.

Responsibilities

• Build and run predictive models behind the platform's audience and data products.
• Own the platform's Feature Store as a commercial product.
• Lead the measurement methodology including controlled experiments and lift analysis.
• Direct the roadmap for the transformer-based embedding model with external partners.
• Build and lead a data science team aligned to production deployment and revenue impact.

Skills

Data science leadership

Predictive modeling

Measurement science

Privacy & ethics

Python

SQL

Spark

Transformer models

Embeddings

Clear communication

Education

Bachelor's in CS/Statistics

Master's or PhD preferred

Tools

Snowflake

Databricks

AWS

LiveRamp

TensorFlow

Keras

Job description

Spectrum is seeking a Head of Data Science to lead the development of predictive models and the embedding-based platform that powers audience, insights, and measurement products. You will own the Feature Store, drive evaluation standards, and coordinate with product, sales, and external partners to scope pilots and convert evaluations into contracts.

You will manage a team of data scientists and ML engineers, champion rigorous experimentation, and ensure privacy-preserving analytics while