Chief Data Scientist, Embeddings & Audience Platform

Jobtome; Irvington Township (IA); On-site; USD 263,000 - 394,000; Full time

Benefits offered by this job

Benefits package

Job summary

Spectrum is seeking a Head of Data Science to lead the data science team behind its AI-native platform. You will build predictive models for audiences, measurements, and embedding-driven products, while setting governance, MLOps, and privacy standards.

You will collaborate with product, sales, and external partners to scope pilots and convert evaluations into contracts. You will direct the embedding model roadmap, manage a team of data scientists and ML engineers, and ensure models deliver

Qualifications

• 7+ years leading applied data science or analytics teams that build data, audience, identity, or measurement products.
• Hands-on predictive modeling on consumer-level data at scale, including propensity and response modeling, calibration, segmentation, and lookalike modeling.
• Experience designing feature stores and scoring pipelines in production; strong data lifecycle expertise.

Responsibilities

• Build predictive models behind the platform's audience and data products across multiple verticals.
• Own the platform's Feature Store as a commercial product with documented features.
• Lead the evaluation, MLOps, and responsible AI standards for models shipped.

Skills

Predictive modeling

Measurement & causal inference

Data science leadership

Python & SQL

Distributed processing

Embeddings / transformers

Privacy-preserving analytics

Executive communication

Team building

Education

Bachelor's degree in CS/Statistics/Math/Economics

Master's or PhD preferred

Tools

Snowflake

LiveRamp

AWS

Databricks

Spark

Job description

Spectrum is seeking a Head of Data Science to lead the data science team behind its AI-native platform. You will build predictive models for audiences, measurements, and embedding-driven products, while setting governance, MLOps, and privacy standards.

You will collaborate with product, sales, and external partners to scope pilots and convert evaluations into contracts. You will direct the embedding model roadmap, manage a team of data scientists and ML engineers, and ensure models deliver