Data Scientist

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

The ideal candidate combines strong statistical foundations with a service-oriented mindset, and is comfortable moving between modeling, software development, and direct customer conversations.

Requirements

• Bachelor’s degree (MS preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field
• 2+ years of experience building and deploying data science, machine learning, or AI systems in production, ideally including direct client- or customer-facing work
• Strong foundation in statistics, machine learning, experimentation, and causal inference, with genuine enthusiasm for explaining these methods to non-technical audiences
• Excellent verbal and written communication skills—comfortable leading a customer conversation, explaining a modeling tradeoff to a non-technical stakeholder, and writing up findings clearly
• Strong coding and debugging skills, with the ability to write production-quality code and diagnose issues across the full stack, including source data, pipelines, model logic, and customer-facing outputs
• A service-oriented mindset: energized by direct, hands-on customer problem-solving, not only methodology for its own sake
• Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy
• Growth mindset, intellectual curiosity, and a willingness to learn new domains, customer verticals, and measurement methodologies
• Strong preference for candidates with a robust statistical background and prior experience in digital marketing or eCommerce analytics

Benefits

• Comprehensive healthcare benefits (medical, dental, and vision)
• 401(k) plan
• Flexible PTO policy
• 12 company-paid holidays
• 12 weeks of paid parental leave
• $500 work-from-home stipend
• Equity package