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Duties

  • As a Data Scientist, you will:
  • Advise, coach, consult, with less senior analysts, and for performing professional and scientific work in mathematics, statistical analysis, project planning, and/or other scientific principles, methods, and techniques.
  • Execute data science projects, to include setting project goals, exploring available data, wrangling data assessing current (or available), and gapped data, developing a project plan, analyzing (statistical models/models), engineering possible
  • solutions (e.g., creating dashboards or a graphical user interface (GUI), also including programming), optimizing (using supplementary software to optimize the results or product), executing data science methodologies, delivering project results
  • (reports, briefings, white papers), revise (project requirements require some potential revisions), and wrapping up (the project in the best most accessible (understandable – communicating results to the customer).
  • Support the creation of data models, assessments of the data architecture of the organization, and plans to address data architecture shortfalls.
  • Create data models and continually assess the data architecture of the organization.
  • Analyze data functions including application development of analytics, measures/metrics to foster performance towards service targets, objectives, goals to influence operational planning, reporting, decision making, business intelligence tools.
  • Apply data-mining techniques in practical real-world business issues to consider data, identify patterns, issues, or data analysis needs of the organization.
  • Evaluate command policies, data structures, business and technology architectures, and business processes to document opportunities, ways, means, and requirements for infusing emerging technologies into current business processes and capabilities.
  • Utilize artificial intelligence to perform tasks to enhance and/or improve decision-making.
  • Produce analytical reports and communicates the technical data requirements to data providers.