Statistician (Data Scientist) *Direct Hire* 12 Month Roster

Responsibilities

• Serve as a technical expert with responsibility for the initiation, planning, implementation, controlling, modifying and executing of all or part of an entire project, including such tasks as formulation of workload estimates for program segments, specification of the methodology to be used, preparation of appropriate specifications and procedures, and review of computer systems specifications and materials and instructions needed for assuring the adequacy of the project’s design and objectives.
• Explore novel methods of retrieving data and develop innovative recommendations to management and senior leadership as a means for making data driven decisions such as modification of processes and policies. Review, evaluate, validate, and document the results of the findings.
• Assist the supervisor in determining the scope, goals and schedules for future programs in the Office. Collaborate with business or technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions.
• Identify and assess relevant data sources’ validity and reliability to meet project needs. Collate, clean, transform, analyze, and integrate structured and unstructured data from various sources in preparation for analysis.
• Apply statistical methods and concepts including data mining, statistical theory and research procedures to test hypotheses using structured and unstructured data. Develop data product solutions to improve customer experiences, anomaly detection, and business outcomes. Develop proofs of concept or demonstrations to evaluate feasibility of project solutions and recommend visualization strategies.
• Document project work and review deliverables for validity, reliability and timeliness. Communicate analytic solutions to technical and non-technical stakeholders, including during executive- level and/or cross-agency meetings, in a clear and effective manner using oral and written communications.
• Maintain knowledge of state-of-the-art innovations in data science from both academic and industry sources and identify opportunities for implementation. Engage in general professional development to improve knowledge of IRS processes/programs.
• Apply computer based mathematical/statistical techniques using software. Lead or participate in statistical projects or studies in survey sampling (design and estimation), modeling, or statistical research. Apply knowledge of programming/coding language (i.e., SQL, SAS, SPSS, RStudio) to develop scripts or applications.
• Act as a troubleshooter in resolving bottlenecks at any step in a project by identifying and proposing solutions; this may include coordination with other project team members or stakeholders to mitigate issues.