Head of Data Science — Embeddings & Commercial ML

Jobtome; New Providence (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 world-class team delivering transformer-based behavioral embeddings for our advertising platform. You will own predictive modeling, measurement, and the buyer-ready evidence standard, collaborating with product, sales, and external partners to scope pilots and convert them into contracts.

You will steer the embedding model roadmap, ensure responsible AI and privacy standards, and drive production-grade ML across a billion+ records,

Qualifications

• Bachelor's degree in CS, statistics, math, economics, or related field.
• 10+ years of experience in data science and leadership in advertising/marketing analytics.
• Strong predictive modeling, calibration, and segmentation skills.
• Hands-on ML/DL with embeddings, transformers, and large-scale data.
• Experience with MLOps, feature stores, and production pipelines.
• Ability to explain complex methodology to executives and buyers.

Responsibilities

• Lead the data science strategy for the platform, including embedding models and audience products.
• Manage and grow a high-performing team of data scientists and ML engineers.
• Define and defend measurement methodologies, uplift, and attribution.
• Collaborate with product, sales, and solutions to scope pilots and contracts.
• Establish responsible AI standards, privacy, and compliance in collaboration with Legal.

Skills

Predictive modeling

Deep learning

MLOps

Python

SQL

Distributed processing

Model evaluation

Communication with executives

Education

Bachelor's Degree in Computer Science or related quantitative field

Master's degree or PhD in a quantitative discipline

Tools

Snowflake

Databricks

AWS

LiveRamp

Identity graphs

Job description

Spectrum is seeking a Head of Data Science to build and lead a world-class team delivering transformer-based behavioral embeddings for our advertising platform. You will own predictive modeling, measurement, and the buyer-ready evidence standard, collaborating with product, sales, and external partners to scope pilots and convert them into contracts.

You will steer the embedding model roadmap, ensure responsible AI and privacy standards, and drive production-grade ML across a billion+ records,