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Research Python Programmer / Data Analyst - RTI International
Data Analyst
Lead data-driven research projects using Python, advanced statistical techniques, and machine learning to solve complex scientific problems. Collaborate across multidisciplinary teams to design, implement, and validate analytical solutions that inform evidence-based decision making.
About the role
Key Responsibilities
- Design, develop, and maintain Python-based data pipelines and analytical models for large, heterogeneous datasets.
- Apply statistical methods and machine learning algorithms to extract insights and support research hypotheses.
- Collaborate with cross‑functional teams to translate research questions into reproducible analytical workflows.
- Document code, methodologies, and results to ensure transparency and reproducibility.
- Present findings to stakeholders, translating technical results into actionable recommendations.
Requirements
- Proficiency in Python, including libraries such as pandas, NumPy, scikit‑learn, and matplotlib.
- Strong background in statistical analysis and experience with SQL for data extraction.
- Hands‑on experience with machine learning techniques (classification, regression, clustering).
- Excellent problem‑solving skills and ability to work independently in a research environment.
- Effective communication skills for presenting complex analyses to non‑technical audiences.
Skills
pythondata analysissqlmachine learning