Staff Data Scientist, Northbeam

• 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

Desirable

• We are seeking a Staff Data Scientist to advance the statistical and experimentation foundations of Northbeam’s marketing intelligence products, including MMM, Incrementality, Insights, and Recommendation engines
• This is a full-stack data scientist role, operating across the entire lifecycle—from researching and developing advanced statistical and causal inference approaches to implementing, deploying, and maintaining production systems
• You will work at the intersection of R&D and product, owning modeling end-to-end: from data exploration and experimental design to model validation, production integration, and live system iteration
• You will bring a deep understanding of statistical modeling techniques and, critically, the assumptions underlying them
• This role requires strong judgment in selecting, stress-testing, and adapting models to real-world marketing data where ideal conditions rarely exist
• This is a high-agency, hands-on role, requiring comfort shifting between deep technical work, cross-functional collaboration, and customer-facing problem solving as business needs evolve
• 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

• The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager
• Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members
• The final step is a video interview with our CEO/Co-founder
• The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time
• We accept applications on an ongoing basis