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About the role

  • Staff Data Scientist focusing on statistical methodologies for marketing intelligence products at Northbeam. Collaborating cross-functionally and driving projects across the entire data lifecycle.

Responsibilities

  • Develop and evolve statistical and causal inference methodologies that strengthen the rigor and reliability of Northbeam’s marketing measurement products
  • Enhance the accuracy, robustness, and scalability of existing MMM pipelines
  • Write production-quality Python and SQL, collaborating closely with Engineering to integrate statistical workflows into scalable systems
  • Rigorously assess model assumptions, identify potential sources of bias, and implement mitigation strategies
  • Debug data and modeling issues in production and improve the reliability of customer-facing results
  • Translate complex statistical reasoning into clear, decision-ready insights for internal stakeholders and customers

Requirements

  • Bachelor’s degree in Mathematics, Computer Science, or a highly quantitative STEM field (Master’s preferred)
  • 6+ years of applied experience in data science, machine learning, or statistical modeling roles
  • Deep applied experience in statistics and causal inference, including hands-on ownership of experiment design (A/B testing, geo-based experiments, or quasi-experimental methods), power analysis, and interpretation of lift
  • Strong understanding of regression, time series modeling, Bayesian methods, and model evaluation in real-world business settings
  • Experience translating statistical research or experimentation frameworks into production-ready systems
  • Proficiency in Python and SQL, with experience working on modern data platforms and statistical modeling libraries
  • Experience working with production code and comfort making changes to live models and pipelines
  • Interest in (or prior experience with) marketing measurement, including MMM and incrementality, with a strong desire to deepen domain expertise
  • Thrives in a small, fast-paced environment, with the ability to drive projects end-to-end
  • Strong communication skills, with comfort explaining technical concepts to non-technical audiences and supporting customer-facing investigations
  • A growth mindset and genuine curiosity about improving measurement quality and decision-making

Benefits

  • 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

Job type

Full Time

Experience level

Lead

Salary

$180,000 - $230,000 per year

Degree requirement

Bachelor's Degree

Tech skills

PythonSQL

Location requirements

RemoteCanada

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