Data Scientist
Position Summary & Responsibilities
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. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we're taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions.
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 physical offices in San Francisco and Los Angeles.
About the Role
We are seeking a Data Scientist as a foundational member of our new "Applied Measurement" team. In this role, you will help scale Northbeam's incrementality and measurement products directly with customers, to help customers answer some of their most important marketing measurement questions. You’ll work at the intersection of data science, causal inference, predictive modeling, and customer problems, contributing across Northbeam’s measurement products. This can include experimentation and incrementality products, Marketing Mix Modeling (MMM), and other predictive or machine learning products.
This is an applied Data Science role with direct exposure to real-world customer problems. You’ll work closely with experienced Data Scientists and cross-functional partners across Media Strategy, Customer Success, Product, and Engineering. As you develop deeper product and methodological expertise, you’ll have opportunities to contribute to new methodology, tooling, and scalable measurement capabilities. You will also act as a trusted technical partner to clients: explaining statistical methodology, diagnosing measurement issues in the
Key Role Competencies & Evaluation Highlights
Evaluating advanced data fluency, analytical rigor, and the ability to translate complex attribution data into actionable e-commerce growth strategies.
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