Northbeam

Northbeam

Senior Data Scientist

Remote - USA · Senior

Sponsorship not specified$170k-$200kDetected 42 days ago
Full-Stack DevelopmentMachine LearningData EngineeringData ScienceStatisticsA/B TestingCustomer SuccessCommunication

About the role

  • This is an applied data science role focused on translating statistical and causal inference methodologies into reliable, production-grade systems.
  • 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 problem solving.

Responsibilities

  • Build, deploy, and maintain production systems that power Northbeam's measurement products.
  • Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities.

Requirements

  • Strong coding and debugging skills, with the ability to write production-quality code that is maintainable, testable, and reliable.
  • Ability to debug issues across the full stack, including source data, data pipelines, model logic, production services, and customer-facing outputs.
  • 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.
  • 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.
  • Experience implementing, deploying, and supporting statistical or machine learning systems in production environments.
  • Experience owning projects end-to-end, from problem definition and methodology evaluation through production deployment and operational support.
  • Base Salary Range
  • $170,000 - $200,000 USD
  • Actual compensation may vary based on experience, skills, and location.
  • In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.

Nice to have

  • Bachelor's degree (MS or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field.

Skills

  • Growth mindset, intellectual curiosity, and a willingness to learn new domains, technologies, and measurement methodologies.

Compensation

  • $170,000 - $200,000 USD
  • Actual compensation may vary based on experience, skills, and location.
  • In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan.

Benefits

  • Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems.
  • Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave.
  • We also provide a $500 work-from-home stipend to support your remote setup.

Company info

  • Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.
  • 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'd love for you to be part of our journey.

This listing is sourced directly from Northbeam's careers page and normalized into a canonical job model.