Data Scientist
Summary
Data Scientist analyzes agricultural risk and policy data, builds geospatial and statistical models, and creates interactive dashboards in Python, R, Tableau, and Power BI.
The Data Scientist position is within an analytical unit, applying scientific and technical findings to risk analyses, policy decisions, operational data management, and analyses. Responsible for organizing, replicating, architecting, distributing, and reporting on PPQ and cooperator mission data, including geospatial and non-geospatial information.
The duties may include, but are not limited to:
Key contributions involve solving technical issues, such as designing data flows and using data systems to create new and modify existing tools for better customer experience.
Conducts statistical analyses and applies data science methods to support the transition to data-driven initiatives.
Creates interactive data visualization tools like Tableau, ESRI, R, Python, and Power BI to present analytical results with graphs, charts, dashboards, and other visualizations.
Follows all data governance, including standards, policies, and procedures and documentation to meet established requirements.
Offers management technical guidance and recommendations.
Communicates clearly and professionally with subject matter experts (SME), analysts, other data professionals, and stakeholders
Identifies problems, determines solutions, tests hypotheses, and evaluates results.
Works collaboratively with program and management staff to analyze issues, make and implement recommendations, achieve consensus, and deliver informed advice.
Performs other duties as assigned.