Data Scientist

Summary

As a Data Scientist, you will be part of Healthcare and Insurance, Office of Personnel Management. If selected, you will be responsible for research, development, deployment, and enhancement of enterprise-wide analytics solutions using complex analytics techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence.

Duties

Implements computational and machine learning algorithms to big data to identify insights using next generation analytics tools to develop data-driven organization solutions. Uses expert level knowledge to utilize common data science tools, including scripted languages (including but not limited to R, Python, SQL, and JavaScript), analytics platforms, opensource/ commercial off-the - shelf solutions to develop data science products. Develops and maintains effective working relationships with HI and OPM staff and other agencies in order to share information and learn the latest developments in analytical tools and techniques to efficiently assist HI with mission-related work. Performs analysis of the data using techniques such as optimization methods, regression analysis, statistical analysis, mathematical modeling and programming, machine learning, natural language processing, deep learning, spatial analysis etc. Uses advanced communication skills, data visualization, and written materials to convey in simple terms complex concepts and results to stakeholders to predict future events, explain past events, recommend the best alternatives, and present relevant tradeoffs and limitations so decision-makers can make informed choices or take appropriate action. Develops and implements user-centric visualization solutions that provide business insights to decision makers using self-service data visualization tools including but not limited to Power BI, Tableau, and R Shiny applications. Implements data science policies, standards, procedures, and processes related to HI data.

Qualifications

You must first meet the Basic Requirement: 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. In addition to the basic requirement stated above: For the GS-11 Grade Level: You must have one year of specialized experience at the GS-09 grade level (or equivalent) which includes the following experience: Utilizing data management technologies, such as SQL, Python, R or similar; Preparing technical/narrative reports for making program decisions; AND Utilizing principles, concepts, and theories of data science, operation research methodology, analysis, and evaluation. -Or- Have completed 3 full years of progressively higher-level graduate education leading to a PhD. degree OR possess a PhD or equivalent doctoral degree in a field that is directly related to the duties of this position. -Or- A combination of education and experience may be used to qualify for this position as long as the computed percentage of the requirements is at least 100%. To compute the percentage of the requirements, divide your total months of experience by 12. Then divide the total number of completed graduate semester hours (or equivalent) beyond the second year (total graduate semester hours minus 36) by 18. Add the two percentages. For the GS-12 Grade Level: You must have one year of specialized experience at the GS-11 grade level (or equivalent) which includes the following experience: Developing a data warehouse using SQL, Python, R or similar data management technologies; Creating consumable data visualizations to promote understanding of results or trends (graphs, charts, dashboards); AND Developing mathematical, and/or statistical models for evaluation, identification, collection, and analysis of all data used to support assigned program(s). For the GS-13 Grade Level: You must have one year of specialized experience at the GS-12 grade level (or equivalent) which includes the following experience: Performing quantitative and qualitative analysis to support executive decision making; Developing a data warehouse using SQL, Python, R or similar data management technologies; Preparing and delivering technical/narrative reports for making program decisions; Creating consumable data visualizations to promote understanding of results or trends (graphs, charts, dashboards); AND Performing scientific activities related to data modeling, forecasting, and/or statistical analyses for program(s). Applicants must meet applicable time-in-grade requirements to be considered eligible. One year at the GS-09 level is required to meet the time-in-grade requirements for the GS-11 level. One year at the GS-11 level is required to meet the time-in-grade requirements for the GS-12 level. One year at the GS-12 level is required to meet the time-in-grade requirements for the GS-13 level. You must meet all qualification and eligibility requirements by the closing date of this announcement. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

This position has a basic education requirement listed under the Qualifications section of this announcement. Therefore, you MUST provide documentation supporting any education claims in your application. This documentation can include unofficial transcripts or any report listing institution, course title, credits earned and final grade.