Head of Data Science - Embeddings & Platform Leader

Jobtome; Village of Floral Park (NY); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum seeks a visionary Head of Data Science to lead a large-scale AI-native platform, building predictive models, managing embeddings, and owning the data‑science roadmap across audiences, measurement, and licenses.

Based in New York, you will lead a team of data scientists and ML engineers, collaborating with product, sales, and legal to drive production‑grade experimentation and revenue impact.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in the advertising, media, or marketing ecosystem.
• Deep, hands‑on expertise in predictive modeling on consumer‑level data at scale, including propensity and response modeling, calibration, and segmentation.
• Strong grounding in measurement and causal inference, including incrementality testing and synthetic controls.
• Working knowledge of identity, clean rooms, and data collaboration with licensed third‑party data.
• Full data science lifecycle, feature stores, and scalable scoring pipelines.
• Proficiency with Python, SQL, and distributed processing; cloud platforms (Snowflake, AWS).
• Hands‑on with embeddings/transformers and the ability to direct an embedding roadmap.
• Ability to explain methodology to executives and buyers, defend it under scrutiny.
• Track record of building high‑performing data science teams.
• Curiosity about applying AI to consumer intelligence.

Responsibilities

• Build and run predictive models for the platform's audience and data products.
• Own segment definitions, coverage, refresh cadence, and accuracy for audiences.
• Lead the platform's Feature Store as a commercial product with documented features.
• Head the outcome anchoring program with licensed third‑party data for calibration.
• Lead modeling for custom/partner audiences including lookalike expansion and seed‑based models.
• Establish repeatable, clean‑room workflows with transparent match rates and performance metrics.
• Define the measurement methodology and validation against real‑world outcomes.
• Lead identity and viewing products, including household graphs and privacy‑preserving techniques.
• Direct the embedding model roadmap and ensure it meets commercial standards.
• Set hiring priorities and foster a production‑oriented experimentation culture.

Skills

Predictive modeling

Machine learning

Data science leadership

Python

SQL

Spark

A/B testing / causal inference

Embeddings / transformers

Privacy-preserving analytics

Executive communication

Education

Bachelor's Degree in Computer Science

Master's degree or PhD in quantitative field

Tools

Snowflake

LiveRamp

AWS

Databricks

Python

Job description

Spectrum seeks a visionary Head of Data Science to lead a large-scale AI-native platform, building predictive models, managing embeddings, and owning the data‑science roadmap across audiences, measurement, and licenses.

Based in New York, you will lead a team of data scientists and ML engineers, collaborating with product, sales, and legal to drive production‑grade experimentation and revenue impact.