Head of Data Science — Embeddings & AI Products

Jobtome

Woodside (NY)

On-site

USD 263,000 - 394,000

Full time

10 days ago

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Job summary

Spectrum is seeking a Head of Data Science in New York to lead the data science team building the platform's transformer-based behavioral embeddings and audience models. You will own the embedding roadmap, drive predictive modeling at scale, and collaborate with product, sales, and partners to scope pilots and contracts.

You will set MLOps, responsible AI standards, ensure privacy-preserving analytics, and work with external partners to deliver measurable value for buyers across markets.

Qualifications

  • Experience leading applied data science or analytics teams for audience or measurement products.
  • 10+ years of hands-on predictive modeling on consumer data at scale.
  • Strong grounding in causal inference and evaluation design.
  • Deep experience with privacy-preserving analytics and data regulation.

Responsibilities

  • Lead the data science team and set hiring priorities.
  • Build predictive models behind audiences, insights, and measurements.
  • Own the platform's embedding model roadmap and evaluation standards.
  • Define and defend measurement methodologies and lift.
  • Establish MLOps and responsible AI standards.
  • Collaborate with product, sales, and partners to scope pilots and translate results into contracts.

Skills

Leadership
Predictive modeling
Machine learning
Python
SQL
Snowflake
AWS
Privacy preservation
Stakeholder comms

Education

Bachelor's degree in quantitative field

Tools

Snowflake
Databricks
LiveRamp
RampID
UID2

Job description

Spectrum is seeking a Head of Data Science in New York to lead the data science team building the platform's transformer-based behavioral embeddings and audience models. You will own the embedding roadmap, drive predictive modeling at scale, and collaborate with product, sales, and partners to scope pilots and contracts.

You will set MLOps, responsible AI standards, ensure privacy-preserving analytics, and work with external partners to deliver measurable value for buyers across markets.

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