Head of Data Science, Behavioral Intelligence Platform

Jobtome; Elizabeth (MN); On-site; USD 263,000 - 394,000; Full time

Job summary

Spectrum is seeking a Head of Data Science to lead an AI-native behavioral embedding platform. You will build predictive models, establish measurement standards, and partner with product, sales, and external teams to scope pilots and convert evaluations into contracts.

You will direct the embedding roadmap, ensure privacy and governance, and lead a team of scientists and engineers to deliver measurable revenue impact.

Qualifications

• Proven record leading data science for data, audience, identity, or measurement products in the advertising, media, or marketing ecosystem, where models are packaged, priced, sold, and renewed by external buyers.
• Deep, hands‑on expertise in predictive modeling on consumer‑level data at scale, including propensity and response modeling, classification, gradient boosting, regression, calibration, segmentation and clustering, and lookalike modeling, with sound judgment about which method fits the commercial problem.
• Strong grounding in measurement and causal inference, including incrementality testing, matched and synthetic controls, test‑and‑holdout design, and the practical limits of attribution and media mix approaches.
• Working knowledge of identity and data collaboration: household and device graphs, onboarding and match rates, clean rooms (Snowflake, LiveRamp, AWS, or equivalent), identity namespaces such as RampID and UID2, and the use of licensed third‑party data in modeling.
• Command of the full data science lifecycle in production, from feature engineering through training, validation, deployment, monitoring, and iteration, at large dataset scale (billions, even trillions of records); experience designing feature stores and scoring pipelines that serve audiences and partner deliveries.
• Hands‑on proficiency with Python, SQL, and distributed data processing (Spark or equivalent); experience running ML workloads on Snowflake, Databricks, AWS, or equivalent cloud platforms.
• Solid working knowledge of deep learning and representation learning, including embeddings, sequence models, and transformers, sufficient to direct an embedding roadmap with external partners, set its evaluation standards, and put embeddings to work as features in downstream models.
• Familiarity with privacy‑preserving analytics and consumer data regulation, including aggregation thresholds, differential privacy, and consent management; comfortable working alongside Legal and Privacy on product design.
• Ability to explain methodology clearly to executives, sellers, and buyers, and to defend it under scrutiny from sophisticated technical counterparts in external partner and customer conversations.
• Track record of building and growing high‑performing data science teams, ideally from an early stage, and recruiting senior talent in competitive markets.
• Curiosity about the application of AI to consumer intelligence, including how foundation models and AI agents can draw on behavioral context to make better decisions.

Responsibilities

• Build predictive models behind audience and data products, including market, life-stage, and category propensity models.
• Own segment definitions, coverage, refresh cadence, and measured accuracy for every audience the platform sells.
• Own the platform's Feature Store as a commercial product: named, typed, versioned, and documented features.
• Lead the outcome anchoring program that trains and calibrates models against licensed third‑party data.
• Lead modeling behind custom and partner‑specific audiences and seed‑based lookalike expansion.
• Establish repeatable, clean‑room‑based workflows with transparent match rates and performance.
• Design and defend the platform's measurement methodology and attribution approaches.
• Define metrics powering insights subscriptions and aggregate demand indices.
• Lead data science for identity and viewing products, calibrating household graphs and viewing states.
• Direct the embedding model roadmap, working with technology and partners on architecture and refresh.
• Establish evaluation, MLOps, and responsible AI standards for shipped models.
• Serve as senior data science voice with customers and partners, scoping pilots and translating methodology into proof points.
• Build and lead a team of data scientists and ML engineers, setting hiring priorities and production‑oriented culture.

Skills

Predictive modeling

Measurement science

Python

SQL

Spark

Embeddings/representation learning

Education

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

Master's degree or PhD in Statistics, ML or related

Tools

Snowflake

Databricks

AWS

LiveRamp

RampID / UID2

Job description

Spectrum is seeking a Head of Data Science to lead an AI-native behavioral embedding platform. You will build predictive models, establish measurement standards, and partner with product, sales, and external teams to scope pilots and convert evaluations into contracts.

You will direct the embedding roadmap, ensure privacy and governance, and lead a team of scientists and engineers to deliver measurable revenue impact.