Data Science Lead — Embeddings & Platform Innovation

Jobtome; Village of Rockville Centre (NY); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum, a leader in AI-native behavioral intelligence, seeks a Head of Data Science to build predictive models and the embedding platform that power audiences, insights, and data licenses. You will lead a team of data scientists and ML engineers, set standard methodologies, and collaborate with product and sales to scope pilots and close evaluations into contracts.

You will own the embedding model roadmap, ensure performance above traditional baselines, and drive privacy-preserving practices

Qualifications

• Proven track record leading data science for data, audience, identity, or measurement products.
• Hands-on predictive modeling on consumer-level data at scale.
• Experience with privacy-preserving analytics and regulation.

Responsibilities

• Lead the data science team and platform embedding roadmap.
• Define evaluation, MLOps, and responsible AI standards for models.
• Collaborate with product, sales, and solutions teams to scope pilots and evaluations.
• Oversee feature stores, scoring pipelines, and audience modeling.
• Maintain transparency and validation against real-world outcomes.
• Communicate methodology clearly to executives and external partners.

Skills

Leadership

Predictive modeling

Measurement science

Deep learning

Embeddings

MLOps

Python

SQL

Cloud platforms

Privacy by design

Education

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

Master's degree or PhD in Statistics, ML, Econometrics, OR

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

Job description

Spectrum, a leader in AI-native behavioral intelligence, seeks a Head of Data Science to build predictive models and the embedding platform that power audiences, insights, and data licenses. You will lead a team of data scientists and ML engineers, set standard methodologies, and collaborate with product and sales to scope pilots and close evaluations into contracts.

You will own the embedding model roadmap, ensure performance above traditional baselines, and drive privacy-preserving practices