Principal Data Scientist, Marketing Measurement

About the Role

We are seeking a Principal Data Scientist to own the science behind how we measure marketing effectiveness at scale. You will turn ambiguous attribution problems into reliable systems that drive confident business decisions, both across our organization and for our customers. This is a hands-on technical lead role where you'll advance the state-of-the-art in marketing measurement while ensuring our current systems deliver exceptional accuracy and reliability.

You will serve as the technical architect for attribution methodologies, experiment design, and statistical inference—balancing cutting-edge research with practical business impact. Working closely with engineering teams, you'll drive both the optimization of existing attribution systems and the development of next-generation capabilities including AI-powered measurement techniques.

• Own and advance the statistical foundations of marketing-effectiveness measurement, ensuring methodologies are robust, reliable, and scalable.
• Research, prototype, and deploy advanced attribution and AI models for marketing measurement.
• Design and evolve complex data science models that balance scientific rigor with practical, scalable frameworks.
• Build and maintain experimentation frameworks for model validation and lift measurement.
• Define and implement validation and release criteria for attribution model and product launches, including data-quality checks, model benchmarking, and validation metrics.
• Collaborate with Software Engineers and Product Managers to (respectively) productionize and productize your work.
• Mentor Data Scientists on complex statistical and methodological challenges, including experiment design; raise the bar for individual execution via reviews and training.

What You Bring

• 8+ years in data science or ML engineering roles.
• PhD (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field, with a strong foundation in causal inference, experimental design, and Bayesian modeling.
• Proven experience applying statistical methods to marketing measurement, attribution modeling, and related incrementality/experiment design problems.
• Experience in building or optimizing large-scale A/B testing or experimentation infrastructure.
• Experience designing, deploying, and operating statistical/ML models that drive real business decisions at scale, including validation and monitoring.
• Proficiency in Python/R/SQL and modern data platforms (BigQuery, Snowflake), familiarity with MLOps practices and data pipeline orchestration tools.
• Strong communication skills, with the ability to explain complex statistical concepts to customers and internal stakeholders, translating technical nuance into business confidence.

Bonus Skills Experience

• Experience in enterprise Martech, AdTech, B2B SaaS, or adjacent industries dealing with complex attribution challenges.
• Experience with identity resolution across web, mobile, and offline channels.
• Background with graph neural networks, deep learning applications.