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Senior Data Scientist

Northbeam•Canada•🌍 Remote
Full-time3-7
$170K - $200K
per year
👁️ 0 views•📝 0 applications•Posted 9/15/2026•Expires 11/14/2026
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Job Description

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 Senior Data Scientist to help build and scale Northbeam 's measurement products, including MMM, Incrementality, Insights, and Recommendation Systems. This is an applied data science role focused on translating statistical and causal inference methodologies into reliable, production-grade systems.

You will work across the full lifecycle of measurement products—from methodology evaluation and model development to implementation, deployment, monitoring, and customer support. This role emphasizes production implementation and operational ownership as much as statistical methodology.

The ideal candidate combines strong statistical foundations with a builder mindset and is comfortable moving between modeling, software development, production operations, and customer-facing

Required Skills

statistical methodologiescausal inferenceproduction-grade systemsmodel developmentimplementationdeploymentmonitoringcustomer supportmachine learningMMMincrementalityInsightsRecommendation Systemssoftware development

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