Head of Data Science: Embedding & AI Platform Leader

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

Benefits offered by this job

Comprehensive pay and benefits package

Job summary

Spectrum seeks a Head of Data Science to lead the data science team behind its AI-native behavioral intelligence platform. You will build predictive models, manage the embedding layer, and set evaluation standards that satisfy buyers and partners.

You will collaborate with product, sales, and external developers to scope pilots and accelerate revenue. The role requires hands-on leadership in measurement, privacy-preserving analytics, and deep learning, with a track record of delivering

Qualifications

• Proven experience leading data science teams in advertising, media, or marketing.
• Hands-on predictive modeling at scale (propensity, segmentation, calibration).
• Strong grounding in measurement and causal inference (incrementality, controls, holdout).
• Experience with identity graphs, clean rooms, and data collaboration.
• Ability to design feature stores and production scoring pipelines.

Responsibilities

• Build and lead the data science team delivering embedding-based models and audience products.
• Define and defend evaluation, MLOps, and responsible AI standards.
• Own the platform's transformer-based embedding roadmap and performance metrics.
• Collaborate with product, sales, and external partners to scope pilots and contracts.
• Serve as the senior data science voice with customers and partners.

Skills

Predictive modeling

MLOps

Transformer models

Python

SQL

Cloud platforms

Privacy & compliance

Leadership

Education

Bachelor's Degree in Computer Science, Statistics, Mathematics, Economics

Master's degree in related field

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

PyTorch / TensorFlow

Job description

Spectrum seeks a Head of Data Science to lead the data science team behind its AI-native behavioral intelligence platform. You will build predictive models, manage the embedding layer, and set evaluation standards that satisfy buyers and partners.

You will collaborate with product, sales, and external developers to scope pilots and accelerate revenue. The role requires hands-on leadership in measurement, privacy-preserving analytics, and deep learning, with a track record of delivering