GMI Data Scientist
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Role details
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Job description
- Support the Director and Deputy Director in problem solving to accomplish the goals of the Government Modernization Initiative.
- Lead efforts to develop scalable, innovative approaches to extracting, managing and analyzing data for government modernization and performance improvement projects Conduct observational and statistical analyses using appropriate software and/or programming languages to test hypotheses, predict outcomes, and inform decisions
- Provide expertise to support data-driven decisions and policy
- Drive the development of data science and research analysis projects to glean insight into pressing issues and policy areas in order to support the formulation of thoughtful solutions
- Work hand-in-hand with department leadership on specific GMI projects to understand the data they currently collect and work to leverage these data for improving defined challenges and achieving outcomes
- Work hand-in-hand with agencies on specific government modernization initiatives, including supporting strategy development and initiative design and execution.
- Drive the development of data science and research analysis projects to glean insight into pressing issues and policy areas in order to support the formulation of thoughtful solutions
- Conduct observational and statistical analyses using appropriate software and/or programming languages to test hypotheses, predict outcomes, and inform decisions
- Obtain, evaluate, and interpret data and reports from various systems, assessing relevant data source validity and reliability to meet government modernization project needs
- Provide expertise to support data-driven decisions and policy
- Identify delivery obstacles and work with the Government Modernization Initiative to address
- Identify indicators to test findings and hypotheses relevant to the government modernization and performance improvement projects
Requirements
The successful candidate will work as part of the Government Modernization Initiative (GMI) team to build scalable data pipelines and analytical models to support GMI’s projects. The ideal candidate possesses strong analytical and data engineering skills and has familiarity with working in agile government settings., Education: Possession of a bachelor’s degree from an accredited college or university, preferably in Computer Science, Data Science, or a related field., * At least two (2) years of experience as a Data Engineer, Data Scientist, or similar role, preferably in a public sector setting.
- At least one (1) year of hands-on experience building, deploying, and maintaining machine learning models, LLM applications, or agentic AI solutions in production.
- Fluency in scripting languages suitable for data analysis and modeling, such as Python and/or R.
- Demonstrated experience building or working with Model Context Protocol (MCP) servers to enable seamless tool and data integration for AI agents.
- Hands-on experience with managed enterprise AI suites, specifically AWS Bedrock (including AgentCore) or Google Cloud AI / Gemini Ecosystem (including custom Gemini Gems and AI Studio).
- Excellent ability to simplify complex concepts, formulate options and recommendations, and communicate effectively across all levels of management.
- Excellent planning and organizational skills with a proven ability to multitask effectively.
Note: Candidates may substitute 5 additional years of experience as defined above for the education requirement, The successful candidate will have demonstrated many or preferably all of the following:
- Possession of a master’s degree from an accredited college or university, preferably in Public Policy, Analytics, Computer Science, or a related field.
- Experience working within or closely with government agencies or large institutions is highly preferred.
- Exceptional interpersonal skills with a proven ability to facilitate meetings, build consensus, and navigate complex organizational environments.
- Excellent written and verbal communication skills.
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