Data Scientist

About the role

The position is eligible for 2 days per week remote work.

Responsibilities

• Data Analysis: Conduct statistical analysis and produce maintainable and reproducible code to inform policy. Manage complex data projects through iterative project cycles, policy and methodology research. Respond promptly to ad hoc requests and deliver accurate analysis.
• Communication and Collaboration: Collaborate with other team members on projects to provide support and seek feedback on your own work. Present projects to senior staff and external stakeholders. Mentor other team members. Work with agency leadership from a variety of technical and non-technical backgrounds to produce quality data analysis.
• Data Quality Management: Monitor data quality and completeness of data. Maintain documentation of projects and data dictionaries. Suggest changes and improvements to our database and aggregate tables.

Requirements

• A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
• One year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization, or three years of responsible full-time research experience in the appropriate field of specialization.
• Education and/or experience which is equivalent to "1" or "2" above, with at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above.

Qualifications

• Master’s degree in data science, statistics, or a related field.
• Solid foundation in statistical and predictive analysis.
• Prior experience using Python and SQL to read and transform large amounts of data and deliver clean and well-organized code.
• Willingness to learn new technologies.
• Collaborative mindset, experience working in cross-functional teams.
• Excellent verbal and written communication skills, with the ability to explain technical concepts to stakeholders from varied technical backgrounds.
• Experience documenting code, creating data dictionaries and flow diagrams, and maintaining comprehensive wikis for users.
• Ability to balance technical excellence with practical solutions in a government setting.

Skills

• 3+ years’ experience in quantitative fields.
• Experience using Python and SQL to read and transform large amounts of data and deliver clean and well-organized code.
• Collaborative mindset, experience working in cross-functional teams.
• Excellent verbal and written communication skills, with the ability to explain technical concepts to stakeholders from varied technical backgrounds.
• Experience documenting code, creating data dictionaries and flow diagrams, and maintaining comprehensive wikis for users.
• Ability to balance technical excellence with practical solutions in a government setting.

Benefits

Public Service Loan Forgiveness (PSLF) is available to eligible employees. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf.

Pay

$87,743.00 – $88,000.00

Schedule

Not specified