Senior Manager, Data Science - Rockerbox
DoubleVerifyFull Time
Expert & Leadership (9+ years)
Candidates must possess 8+ years of experience in data science or ML engineering roles and hold a PhD (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field. A strong foundation in causal inference, experimental design, and Bayesian modeling is essential, along with proven experience applying statistical methods to marketing measurement, attribution modeling, and incrementality/experiment design problems. Experience in building or optimizing large-scale A/B testing or experimentation infrastructure is required, as is experience designing, deploying, and operating statistical/ML models that drive real business decisions at scale. Proficiency in Python/R/SQL and modern data platforms like BigQuery or Snowflake is necessary, along with familiarity with MLOps practices and data pipeline orchestration tools. Strong communication skills are needed to explain complex statistical concepts to customers and internal stakeholders.
The Principal Data Scientist will own and advance the statistical foundations of marketing-effectiveness measurement, ensuring methodologies are robust, reliable, and scalable. This role involves researching, prototyping, and deploying advanced attribution and AI models for marketing measurement, as well as designing and evolving complex data science models that balance scientific rigor with practical, scalable frameworks. Responsibilities include building and maintaining experimentation frameworks for model validation and lift measurement, defining and implementing validation and release criteria for attribution model and product launches, and collaborating with Software Engineers and Product Managers to productionize and productize work. Additionally, the role requires mentoring Data Scientists on complex statistical and methodological challenges and raising the bar for individual execution through reviews and training.
Marketing intelligence platform for advertisers
Northbeam is a marketing intelligence platform that helps businesses optimize their advertising budgets and improve performance, specifically targeting brands that spend over $250,000 monthly on ads. It combines Multi-Touch Attribution (MTA) to track customer interactions and Media Mix Modeling (MMM) to analyze the effectiveness of various marketing channels. Northbeam operates on a subscription-based model with custom pricing, offering personalized support to clients. The goal is to enable large-scale advertisers to make data-driven decisions and maximize the effectiveness of their marketing strategies.