Senior Data Scientist

Remote - Canada. Posted 5 months ago

The role

You will build, deploy, and maintain production systems for measurement products including MMM, Incrementality, Insights, and Recommendation Systems. This role involves translating statistical and causal inference methodologies into scalable customer-facing capabilities.

What you will do

Build, deploy, and maintain production systems that power measurement products
Translate statistical and causal inference methodologies into scalable customer-facing capabilities
Improve the accuracy, coverage, reliability, and operational robustness of measurement systems
Debug data, modeling, and production issues across the full stack
Evaluate methodological improvements balancing rigor, complexity, and business value
Partner with Data Science, Engineering, Product, and Customer Success teams
Explain statistical concepts to customers and troubleshoot measurement issues

Required qualifications

Bachelor's degree 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
Strong coding and debugging skills
Experience implementing, deploying, and supporting statistical or machine learning systems in production environments
Ability to debug issues across the full stack
Experience owning projects end-to-end
Comfortable working in a fast-paced startup environment
Strong communication skills

Nice to have

MS or PhD

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

Before you apply

The interview process typically includes 5-7 interviews total
The process requires around 5-8 hours of your time

About the company

Northbeam is building a marketing intelligence platform providing eCommerce brands a unified view of business data through attribution modeling and dashboards. The company is remote-friendly with offices in San Francisco and Los Angeles.