Head of Data Science — Embeddings & Commercial ML

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

Job summary

Spectrum is seeking a Head of Data Science to lead predictive modeling, embeddings, and measurement across our AI-native platform. You will own the embedding model roadmap, establish MLOps and responsible AI standards, and drive commercial impact through pilots and licenses.

You’ll build and mentor a high‑performing team of data scientists and ML engineers, partner with product, sales, and privacy, and communicate methodology clearly to executives and customers.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in advertising/marketing.
• Hands-on predictive modeling at scale including propensity, calibration, segmentation, and lookalike modeling.
• Strong grounding in measurement and causal inference with incrementality tests and controls.
• Knowledge of identity graphs, clean rooms, and data collaboration tools.
• Lifecycle of data science from feature engineering to deployment and monitoring.
• Proficiency in Python, SQL, and distributed processing; experience on Snowflake/AWS/Databricks.
• Experience with embeddings, transformers, and representation learning.
• Familiarity with privacy-preserving analytics and regulation.
• Ability to explain methodologies to executives and buyers.
• Track record of building high-performing data science teams.
• Curiosity about applying AI to consumer intelligence.

Responsibilities

• Lead predictive models behind audience and data products, including in-market and lifestyle propensity models.
• Own the platform’s Feature Store as a commercial product; lead extraction and calibration pipelines.
• Direct modeling for custom and partner audiences with clean-room workflows.
• Design and defend measurement methodology with lift, test, and validation.
• Lead identity and viewing product models and ad-hoc evaluation strategies.
• Guide the embedding model roadmap, architecture, training, and refresh cycles.
• Establish evaluation, MLOps, and responsible AI standards with cross-functional partners.
• Grow and mentor a team of data scientists, ML engineers, and measurement scientists.
• Partner with product, sales, and privacy to scope pilots and translate methodology into commercial proof points.

Skills

Proven data science leadership

Predictive modeling at scale

Measurement & causal inference

Identity & data collaboration

Full DS lifecycle in production

Python / SQL / Spark

Embeddings / Transformers

Privacy-preserving analytics

Executive communication

Building high-performing teams

Curiosity in AI applications

Education

Bachelor’s Degree in CS/Statistics/Math/Economics

Master’s or PhD preferred

Tools

Snowflake

LiveRamp

AWS

Databricks

TensorFlow

PyTorch

RampID/UID2

Job description

Spectrum is seeking a Head of Data Science to lead predictive modeling, embeddings, and measurement across our AI-native platform. You will own the embedding model roadmap, establish MLOps and responsible AI standards, and drive commercial impact through pilots and licenses.

You’ll build and mentor a high‑performing team of data scientists and ML engineers, partner with product, sales, and privacy, and communicate methodology clearly to executives and customers.