Responsibilities
- Develop data science strategies that align business objectives with technical, statistical, and data limitations.
- Implement Python-based data analysis pipelines using libraries including pandas, NumPy, matplotlib/plotly, scikit-learn, and SQL, with version control via git and GitHub.
- Examine datasets from healthcare, marketing, clinical, commercial, or utilization domains using techniques such as NLP, free-text analysis, clustering, geospatial methods, descriptive statistics, and predictive modeling.
- Communicate analytical results through clear visualizations, narratives, and actionable suggestions tailored for cross-functional teams.
- Lead experimental design, data analysis workflows, and documentation across client projects.
Work Arrangement
Remote (Country) — Ontario
Other
- Fully remote work environment
- No travel obligations
- Freelance engagement
- Work conducted on an ad hoc basis
