Data Scientist
4 weeks ago
Ready to make your application Please do read through the description at least once before clicking on Apply.
Key Responsibilities:
Lead moderate-sized data science teams, providing oversight across project planning, data analysis, and development to deliver actionable insights aligned with organizational objectives.
Provide technical knowledge in systems analysis, design, integration, and implementation for highly specialized applications and complex data environments, ensuring effective problem-solving through domain expertise.
Apply advanced mathematical principles and data science methodologies to synthesize and fuse data from multiple IT systems, meeting specific requirements for complex grant-related tasks and strategic goals.
Implement and optimize data wrangling techniques (extract, transform, clean, evaluate, normalize/standardize, and organize) across large structured, semi-structured, and unstructured data sets.
Develop and maintain SQL queries, performing database interrogations that involve complex joins, subqueries, aggregation, indices, common table expressions, and query optimization.
Utilize data mining, data cleansing, and segmentation techniques to support data preparation and insights generation from diverse data sources.
Leverage expertise in data manipulation, programming, and statistical analysis using Python, R, SAS, Tableau, and AWS, adapting approaches for both small and large data environments.
Maintain familiarity with federal grant-making policies and lifecycle management, and provide analytical support for policy and process improvements across grant administration.
Qualifications:
Active Public Trust clearance
15+ years of experience in data science, with a focus on data-driven project leadership, team management, and direct experience in the tasks described above.
Bachelor’s degree in Computer Science, Information Technology, or a related field; an advanced degree in data science or statistics is preferred.
Proven experience with SQL, including coding and debugging stored procedures, as well as proficiency in Python, R, SAS, Tableau, AWS, or similar tools.
Demonstrated ability to work independently and adapt to evolving priorities in a fast-paced environment, ensuring high-quality deliverables.
In-depth understanding of grants management policies and experience with the lifecycle of federal grant programs and administration.
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