Data Scientist
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- Supporting data engineering and analysis to develop traditional and machine learning models.
- Researching to o establish objectives and approach; ability to isolate and define critical features of the problem; formulation and application of methodology; identify alternative courses of action; and clear, concise, presentation of results.
- Collaborates with Operations Research Analysts, Engineers, Computer Scientists, and other technologists to analyze difficult and complex problems.
- Assessing and understanding the problem scope, develop effective plans and approaches, devise new methods and/or apply existing theories to develop effective and efficient solutions.
- Applying innovative data science and mathematical approaches to the analysis of complex problems and opportunities.
- Identifying the methods, processes, algorithms, tools, and systems to extract and interpret findings from varied structured and unstructured data sets related to data science lifecycle.
- Contributes to the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings.
- Applying professional knowledge of computer science and mathematical theories and technique to analyze, design and construct processes for modeling, interpreting, and reporting quantitative information, trends, and correlations within data sets.
- Develops feasible data architecture recommendations for new and emerging models, analysis tools, and projects.
Starting at $126,342 Per Year (DE 4)
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