Develop and evolve statistical and causal inference methodologies that strengthen the rigor and reliability of Northbeam’s marketing measurement products
Enhance the accuracy, robustness, and scalability of existing MMM pipelines
Write production-quality Python and SQL, collaborating closely with Engineering to integrate statistical workflows into scalable systems
Rigorously assess model assumptions, identify potential sources of bias, and implement mitigation strategies
Debug data and modeling issues in production and improve the reliability of customer-facing results
Translate complex statistical reasoning into clear, decision-ready insights for internal stakeholders and customers

Bachelor’s degree in Mathematics, Computer Science, or a highly quantitative STEM field (Master’s preferred)
6+ years of applied experience in data science, machine learning, or statistical modeling roles
Deep applied experience in statistics and causal inference, including hands-on ownership of experiment design (A/B testing, geo-based experiments, or quasi-experimental methods), power analysis, and interpretation of lift
Strong understanding of regression, time series modeling, Bayesian methods, and model evaluation in real-world business settings
Experience translating statistical research or experimentation frameworks into production-ready systems
Proficiency in Python and SQL, with experience working on modern data platforms and statistical modeling libraries
Experience working with production code and comfort making changes to live models and pipelines
Interest in (or prior experience with) marketing measurement, including MMM and incrementality, with a strong desire to deepen domain expertise
Thrives in a small, fast-paced environment, with the ability to drive projects end-to-end
Strong communication skills, with comfort explaining technical concepts to non-technical audiences and supporting customer-facing investigations
A growth mindset and genuine curiosity about improving measurement quality and decision-making

Staff Data Scientist

Key skills