Develop, test, and maintain software across the full development lifecycle. Assist in requirements analysis, design, implementation, unit/system testing, code reviews, and product documentation. Collaborate with team leads, clients, and peers, contribute to sprint research projects, and maintain professional technical knowledge.

Design and apply data science and machine learning methods to large, complex well-integrity datasets: data cleaning, modeling, validation, statistical analysis, visualization, KPI/dashboard creation, and presenting results. Support productization, business development, documentation, and research publication.