Head of Data Science: Embeddings & Measurement Leader

Jobtome

Waldwick (NJ)

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 lead the embedding-based platform powering audiences, insights, and measurement products. You will build predictive models, set evaluation standards, and drive pilots to contracts, working with product, sales, and partners.

You will own the embedding roadmap, establish ML ops and responsible AI standards, and lead a team of scientists and engineers to deliver scalable, production-ready solutions across verticals.

Qualifications

  • Proven record leading data science for data, audience, identity, or measurement products in advertising/marketing.
  • Hands-on predictive modeling on consumer data at scale with various techniques.
  • Strong grounding in measurement and causal inference.
  • Knowledge of identity graphs, clean rooms and data collaboration.
  • Experience with end-to-end ML lifecycle in production environments.
  • Proficiency with Python, SQL, and distributed processing.
  • Deep learning and embeddings, transformer familiarity.
  • Awareness of privacy-preserving analytics and regulations.
  • Ability to communicate complex methods to non-technical stakeholders.
  • Track record of growing high-performing data science teams.
  • Curiosity about applying AI to consumer intelligence.

Responsibilities

  • Lead predictive modeling for audience and measurement products.
  • Own feature stores and platform data products with transparent validation.
  • Oversee embedding model development and external partner collaboration.
  • Define evaluation cards, release gates, and monitoring for production models.
  • Scope pilots, demos, and commercial proofs with product and sales teams.
  • Guide the data science organization, hiring, and team culture toward production impact.

Skills

Leadership in data science
Predictive modeling at scale
Measurement & causal inference
Identity & data collaboration
ML lifecycle in production
Python, SQL, distributed processing
Deep learning & embeddings
Privacy-preserving analytics
Explain methodology to execs
Building high-performing teams
Curiosity about AI in consumer intel

Education

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 related quantitative discipline

Tools

Snowflake
Databricks
AWS
Spark

Job description

Spectrum seeks a Head of Data Science to lead the embedding-based platform powering audiences, insights, and measurement products. You will build predictive models, set evaluation standards, and drive pilots to contracts, working with product, sales, and partners.

You will own the embedding roadmap, establish ML ops and responsible AI standards, and lead a team of scientists and engineers to deliver scalable, production-ready solutions across verticals.

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