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Jupyter Notebook

Data Science, Analytics and AI/ML

Jupyter Notebook is a web-based interactive computing application that lets users create documents combining live code, visualizations, equations, and narrative text in individual executable cells. It is heavily used by data scientists, students, and researchers for exploratory data analysis, teaching programming concepts, and prototyping machine learning models, particularly in Python. Its file format (.ipynb) has become a de facto standard for sharing reproducible data science workflows.

Open roles requiring Jupyter Notebook (2)

Intuit

Staff Software Engineer, Turbo Tax Data

Intuit

San Diego, CA · $188,500 – $274,000

A technical leadership role building data engineering platforms and pipelines at scale using cloud and big data technologies. This suits experienced data engineers who want to grow into staff-level responsibility while remaining hands-on, mentoring peers and shaping technology direction without people management.

Listed on Intuit’s careers site · Apply there ↗

The Home Depot

Manager, Marketing Science

The Home Depot

Atlanta, GA

Lead a team of marketing analytics professionals at The Home Depot, designing and executing measurement strategies to quantify the impact of marketing investments across the enterprise. This role suits experienced analysts ready to move into people management, combining technical expertise in causal inference and experimentation with responsibility for mentoring junior team members and translating complex findings for executives.

Listed on The Home Depot’s careers site · Apply there ↗

Roles that use Jupyter Notebook

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