Data science intern analyzing HR data and developing predictive models and AI solutions. Supporting iA Financial Group’s insurance, savings, and wealth management business.
About the role
- Senior Data Scientist focused on scaling measurement products at Northbeam. Responsibilities include translating methodologies into production systems and collaboration across teams.
Responsibilities
- 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
- 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
- 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
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