Head of Data Science, AI-Driven Audience Platform

Jobtome

Port Reading (NJ)

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 to build and lead models that power our AI-native behavioral intelligence platform. You will own the embedding model and measurement framework, collaborate with product, sales, and partners, and drive pilots to contracts.

You will manage a team of data scientists, ML engineers, and measurement scientists to deliver production-grade, revenue‑impact solutions. You will establish repeatable, privacy-conscious workflows, evaluate against licensed

Qualifications

  • Proven record leading data science for data, audience, identity, or measurement products.
  • Hands-on predictive modeling on consumer-level data at scale.
  • Strong grounding in measurement, causal inference, and incrementality testing.
  • Experience with privacy-preserving analytics and data regulation.

Responsibilities

  • Build predictive models behind audience and data products across verticals.
  • Own segment definitions, coverage, and accuracy for audiences sold.
  • Lead the platform’s Feature Store as a commercial product.
  • Define and defend measurement methodologies and validation approaches.
  • Lead the embedding model roadmap and evaluation standards with external partners.
  • Build and grow a high-performing data science team and set hiring priorities.

Skills

Predictive modeling
Python
SQL
MLOps
Embeddings/Transformers
Executive communication
Privacy-preserving analytics

Education

Bachelor’s Degree in Computer Science or related field
Master’s or PhD preferred

Tools

Snowflake
LiveRamp
AWS
Databricks
Feature Stores

Job description

Spectrum is seeking a Head of Data Science to build and lead models that power our AI-native behavioral intelligence platform. You will own the embedding model and measurement framework, collaborate with product, sales, and partners, and drive pilots to contracts.

You will manage a team of data scientists, ML engineers, and measurement scientists to deliver production-grade, revenue‑impact solutions. You will establish repeatable, privacy-conscious workflows, evaluate against licensed

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