Senior Data Scientist

Northbeam

Senior Data Scientist building measurement products including MMM and Incrementality at Northbeam. Focused on translating statistical methodologies into reliable production systems.

Posted 6/10/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $170,000 - $200,000 per yearWebsite

About the role

Key responsibilities & impact

Build, deploy, and maintain production systems that power Northbeam's measurement products.
Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities.
Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems.
Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs.
Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value.
Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities.
Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.

Requirements

What you’ll need

Bachelor's degree (MS or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field.
5+ years of experience building and deploying data science, machine learning, or AI systems in production environments.
Strong foundation in statistics, machine learning, experimentation, and causal inference, with experience applying these methods to solve real-world business problems.
Strong coding and debugging skills, with the ability to write production-quality code that is maintainable, testable, and reliable.
Experience implementing, deploying, and supporting statistical or machine learning systems in production environments.
Ability to debug issues across the full stack, including source data, data pipelines, model logic, production services, and customer-facing outputs.
Experience owning projects end-to-end, from problem definition and methodology evaluation through production deployment and operational support.
Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy.
Strong communication skills and the ability to explain technical concepts to both technical and non-technical audiences.
Growth mindset, intellectual curiosity, and a willingness to learn new domains, technologies, and measurement methodologies.

Benefits

Comp & perks

equity package
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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencemachine learningAI systemsstatisticscausal inferencecodingdebuggingdata pipelinesproduction deploymentoperational support

Soft Skills

communication skillsproblem-solvingproject ownershipautonomygrowth mindsetintellectual curiositycollaborationcustomer feedbacktroubleshootingadaptability

Certifications

Bachelor's degreeMaster's degreePhD