Head of Data Science & Embeddings Platform

Jobtome

Baldwin (Allegheny County)

On-site

USD 263,000 - 394,000

Full time

11 days ago

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Job summary

Spectrum seeks a Head of Data Science to drive the development of transformer-based behavioral embeddings and predictive models powering audience, insights, and measurement products. You will set evaluation standards, partner with product and sales to scope pilots, and lead external collaborations to ensure performance and commercial impact.

You will build and lead a team of data scientists, ML engineers, and measurement scientists, establish responsible AI practices, and coordinate with Legal

Qualifications

  • Bachelor’s Degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Master’s degree or PhD in Statistics, Machine Learning, Econometrics, Operations Research, or a related quantitative discipline; an advanced degree is valued but not required.

Responsibilities

  • Lead the data science strategy and embedding roadmap for the platform.
  • Own evaluation standards, privacy-preserving techniques, and MLOps practices.
  • Build and lead a high-performing data science team with production focus.

Skills

Data science leadership
Predictive modeling
Measurement & causal inference
Privacy-preserving analytics
Python & SQL
Embeddings / transformers
ML pipelines / feature stores
Executive communication

Education

Bachelor’s Degree in Computer Science, Statistics, Mathematics, Economics, or related field
Master’s degree or PhD in relevant quantitative discipline

Tools

Snowflake
AWS
Databricks

Job description

Spectrum seeks a Head of Data Science to drive the development of transformer-based behavioral embeddings and predictive models powering audience, insights, and measurement products. You will set evaluation standards, partner with product and sales to scope pilots, and lead external collaborations to ensure performance and commercial impact.

You will build and lead a team of data scientists, ML engineers, and measurement scientists, establish responsible AI practices, and coordinate with Legal

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