Head of Data Science & Embeddings Platform

Jobtome

Florham Park (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 lead the data science organization for its AI-native platform. You will build predictive models for audiences, define measurement methodology, and manage embedding models with external partners.

The role requires leading a team, aligning with product and sales, and delivering performance-driven results. You will own platform-wide data science standards, work with privacy and legal, and drive revenue impact through rigorous experimentation and

Qualifications

  • Proven leadership of 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 experimental design.
  • Familiarity with identity graphs, clean rooms, and data collaboration.
  • Experience with Python, SQL, and distributed processing; cloud workloads.

Responsibilities

  • Build the predictive models behind audience and data products.
  • Own segment definitions, coverage, refresh cadence, and accuracy for audiences.
  • Manage the platform's Feature Store as a commercial product.
  • Lead evaluation, MLOps, and responsible AI standards for models.
  • Direct roadmap for transformer-based embedding models and their deployments.
  • Set hiring priorities and engineering culture for production-ready models.

Education

Bachelor's Degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field

Job description

Spectrum is seeking a Head of Data Science to lead the data science organization for its AI-native platform. You will build predictive models for audiences, define measurement methodology, and manage embedding models with external partners.

The role requires leading a team, aligning with product and sales, and delivering performance-driven results. You will own platform-wide data science standards, work with privacy and legal, and drive revenue impact through rigorous experimentation and

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