SENIOR DATA SCIENTIST

Position Summary

The Senior Data Scientist will support data analysis, data-quality assessment, analytical methods and technical problem-solving for a Federal hydrologic data environment. The individual will work with other technical specialists to evaluate datasets, develop analytical approaches and support reliable and traceable data products.

Key Responsibilities

• Analyze structured and semi-structured datasets.
• Develop and maintain analytical scripts and data-processing workflows.
• Use Python, SQL or R to extract, transform and analyze data.
• Conduct data profiling, validation and quality assessments.
• Identify trends, anomalies, missing values and inconsistencies.
• Develop repeatable analytical methods and reporting procedures.
• Document analytical assumptions, methodology and results.
• Support data visualization and management reporting.
• Work with database and application specialists to resolve data issues.
• Review junior analysts' work and provide technical guidance.
• Support testing, verification and validation of analytical outputs.

Required Qualifications

• Demonstrated professional experience in data science, data analytics, statistics or quantitative research.
• Strong proficiency in Python, R or SQL, with experience using at least two of these tools preferred.
• Experience analyzing complex datasets and explaining analytical findings.
• Experience with data validation, statistical methods and data-quality controls.
• Ability to produce reproducible analyses and technical documentation.

Preferred Qualifications

• Master's degree in data science, computer science, mathematics, statistics, engineering or a related quantitative discipline.
• Experience with scientific, environmental, geospatial, hydrologic or water-resource datasets.
• Experience with Oracle databases, relational database concepts or PL/SQL.
• Experience with time-series analysis and data visualization.
• Experience with Federal data systems or mission-critical applications.

Application Requirements

Submit a resume with examples of data-science projects, programming languages, database platforms, education and relevant technical certifications.

Work Location: Remote