Senior Analyst Researcher (StatCan Data Science Fellowship)
Ottawa, Ontario, Canada
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Summary
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Senior
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Top School
Jules Kuehn is a Senior Analyst/Researcher and data scientist with 12 years of experience applying machine learning, NLP and DevOps to public-sector problems from accessibility and procurement to public health and legal services. He currently advances retrieval-augmented generation and LLM-powered information retrieval for legal text at the Department of Justice, building end-to-end systems with Django, LlamaIndex, Postgres and cloud-native tooling. His background includes leading AI projects for predictive maintenance, incident clustering and text analytics at Shared Services Canada and making public health data more accessible through platform and web development. An early and sustained contributor to the Government of Canada’s Web Experience Toolkit, he blends front-end accessibility expertise with production MLops practices. Notably, he has published and presented on creative algorithmic work and continues to translate research ideas into practical, auditable systems used across federal departments.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Computer Science Honours with High Distinction, Computer Science, 10.8/12 CGPA (11.8/12 Major), Bachelor of Computer Science Honours with High Distinction, Computer Science, 10.8/12 CGPA (11.8/12 Major) at Carleton University
Web Experience Toolkit (WET): Open source code library for building innovative websites that are accessible, usable, interoperable, mobile-friendly and multilingual. This collaborative open source project is led by the Government of Canada.
Role in this project:
Front-end Developer
Contributions:14 commits, 7 PRs, 80 comments in 11 months
Contributions summary:Jules primarily contributed to the front-end components of the Web Experience Toolkit (WET), focusing on the user interface elements and accessibility. Their commits include modifications to tabbed interfaces, accordion components, and menu functionalities. They addressed issues related to keyboard focus, styling, and the overall user experience. Additionally, the user made updates to documentation regarding code styling and language usage.
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Jules Kuehn - Senior Analyst Researcher (StatCan Data Science Fellowship)