Data Scientist

About Northbeam

Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth.

We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.

We're a remote-friendly company with offices in San Francisco and Los Angeles.

Northbeam’s Data Science organization serves as the intelligence layer of the company, owning the end-to-end science behind marketing measurement and optimization. This includes developing and advancing our core methodologies—Media Mix Modeling (MMM), Incrementality testing, causal multi-touch attribution (MTA), calibration and validation frameworks, and large-scale experimentation systems. The team is also responsible for AI-driven insights, recommendations, and the creation of reusable, scalable, and rigorously validated scientific systems that power Northbeam’s product and customer value.

We are seeking a Staff Data Scientist to support the development and evolution of our marketing intelligence products, including MMM, Incrementality, Insights, and Recommendation engines. In this role, you will contribute to the core systems that help businesses understand and optimize marketing effectiveness.

You will operate across the full lifecycle—from researching and developing modeling and experimentation approaches to product ionizing them—while flexibly shifting between deep technical work and customer-facing problem solving as business needs evolve. This role requires familiarity with marketing measurement and the ability to translate complex methodology into practical, decision-ready solutions.

You will collaborate closely with the Head of Insights, Product, Engineering and Design to define and implement data science methodologies that power our products and directly influence customer outcomes.

• Build, improve, and maintain production-grade data science models that power Northbeam’s marketing measurement platform.
• Enhance the accuracy, robustness, and scalability of existing MMM pipelines.
• Design and implement optimization algorithms within our data products.
• Analyze customer measurement data to surface insights, identify gaps, and inform new product opportunities.
• Explain statistical concepts to internal teams, troubleshoot measurement issues, and gather feedback to continuously improve Northbeam’s product suite.
• Partner closely with Engineering, Product and Design to translate customer needs into clear technical requirements.
• Provide technical expertise and guidance to both internal and external, non-technical stakeholders.

• Bachelor’s degree in Mathematics, Computer Science, or a highly quantitative STEM field (Master’s preferred).
• 6+ years of experience in data science or machine learning roles. Strong foundation in statistics, machine learning, and causal inference, with hands-on experience applying these methods to real business problems (e.g., regression, time series analysis, A/B testing, Bayesian modeling).
• Familiarity with optimization techniques (e.g., linear programming, mixed-integer programming, etc.).
• Proficiency in Python and/or R, SQL, and experience working with 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…