Head of Data Science: Embeddings & AI Platforms

Jobtome; Omaha (NE); On-site; USD 263,000 - 394,000; Full time

Benefits offered by this job

Comprehensive pay and benefits

Job summary

Spectrum Intelligence Ventures is hiring a Head of Data Science to build and lead the predictive modeling and measurement platform powering our AI-native behavioral intelligence products. You will own the embedding model and its commercial standards, coordinating with technology and external partners to scope pilots, answer technical buyers, and convert evaluations into contracts.

You will direct a team of data scientists and ML engineers, champion responsible AI, and ensure the platform

Qualifications

• Experience leading data science for data, audience, identity, or measurement products in advertising/media/marketing ecosystems.
• Hands-on predictive modeling on consumer-level data at scale.
• Knowledge of identity graphs and data collaboration tools.
• Ability to explain methodology to executives and buyers.

Responsibilities

• Lead the data science team and set hiring priorities.
• Own the embedding model roadmap and evaluation standards.
• Define measurement methodology and ensure buyer scrutiny readiness.
• Scope pilots and evaluations with product and sales teams.
• Establish robust MLOps, evaluation, and privacy standards.
• Collaborate with Legal and Privacy on product design.

Skills

Predictive modeling

Measurement and causal inference

Python

SQL

Distributed processing (Spark)

Transformer-based embeddings

Privacy-preserving analytics

ML lifecycle management

Education

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

Master’s or PhD in a quantitative discipline

Tools

Snowflake

Databricks

AWS

LiveRamp

Job description

Spectrum Intelligence Ventures is hiring a Head of Data Science to build and lead the predictive modeling and measurement platform powering our AI-native behavioral intelligence products. You will own the embedding model and its commercial standards, coordinating with technology and external partners to scope pilots, answer technical buyers, and convert evaluations into contracts.

You will direct a team of data scientists and ML engineers, champion responsible AI, and ensure the platform