Data Scientist
U.S. Citizenship & Immigration Services
Summary Protect your homeland and defend your culture. Join USCIS, America's frontline defense against illegal foreign infiltration and fraud. As an Data Scientist , you will gather and analyze facts, determine the accuracy of data, apply technical proficiency in using current software functionality, and research ways to improve production and/or increase the quality of the work product. Learn more about this agency Duties Help
- The responsibilities described are for the full performance level. At developmental grade levels, assignments will be of more limited scope performed with less independence, and limited complexity.
- Lead the collection, validation, and prioritization of analytical datasets for data visualization products in coordination with IT resources.
- Critically assess and interpret complex datasets, scrutinizing data quality, validity, and reliability, and identifying inconsistencies or biases.
- Conduct complex algorithmic analysis, select and optimize algorithms, and report insights to senior leadership.
- Respond to data requests, perform data analysis using statistical software, and communicate findings to stakeholders.
- Develop, refine, and pilot innovative data visualizations (e.g., dashboards) with an emphasis on clarity, accuracy, and credibility of insights.
- Provide training and support teams in evidence-based decision-making and application of rigorous data validation techniques.
- You must be a U.S. Citizen or U.S. National to apply for this position
- Successfully pass a Background Investigation including financial disclosure
- You must pass a drug screening
- Males born after 12/31/1959 must be registered with the Selective Service
- Political appointees may require OPM approval before on-boarding
- USCIS applies the Telework Enhancement Act of 2010 to its telework program
- A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR
- B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
- Applying data mining techniques to analyze datasets and extract actionable insights for decision-making;
- Implementing data models to support program objectives and improve operational efficiency;
- Communicating technical findings and data-driven recommendations to both technical and non-technical stakeholders; and,
- Utilizing programming languages (such as Python, R, or SQL) and data visualization tools (such as Tableau or Power BI) to manipulate, analyze, and present large volumes of structured and unstructured data.
- Leading the design and implementation of statistical models, machine learning algorithms, or data mining solutions to address organizational challenges;
- Managing data science projects, coordinating team activities, and ensuring timely delivery of analytical products;
- Advising senior leadership and stakeholders on data-driven strategies, presenting complex technical findings in actionable terms; and,
- Developing and maintaining automated data pipelines or analytical tools using programming languages (such as Python, R, or SQL) and advanced data visualization platforms (such as Tableau or Power BI) to support large-scale data analysis and reporting.
- Job Title (include series and grade if Federal Job)
- Duties (be specific in describing your duties)
- Employer's name and address
- Supervisor name and phone number
- Start and end dates including month, day and year (e.g. June 18 2007 to April 05 2008)
- Start and end dates for each grade/pay level if you've held a federal position.
- Full-time or part-time status (include hours worked per week)
- Salary
Vacancy posted 3 days ago
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