Posit is looking to create new tools for tabular data analysis and modeling by developing Python APIs and packages to address gaps in common data analysis activities.
Requirements
- You have a strong, fundamental understanding of and experience with Python. Python should be your primary language.
- You have an in-depth understanding of advanced techniques for tabular data, such as machine learning, statistical analysis, and visualization.
- You have experience with Git/GitHub.
- (Preferred) You have experience with creating or contributing to Python packages.
- (Preferred) You have real-world experience in analysis and modeling of tabular data.
Responsibilities
- Create Python APIs and packages to fill in gaps of common data analysis activities focused on tabular data.
- Exploratory data analysis.
- Data preparation, feature engineering, and preprocessing.
- Supervised and unsupervised models.
- Visualization methods for models and results.
- Tools for model interrogation.
- Presentation, visualization, and documentation of results.
Other
- Help develop strategy
- Learn where needs are not currently met based on personal experience and community engagement.
- Prioritize projects and create development roadmap.
- Engaging with the open-source community.
- Engage with the Python data analysis community
