Description
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.
Help
Requirements
Conditions of Employment
Must be a U.S. Citizen or National
Males born after 12-31-59 must be registered for Selective Service
Suitable for Federal employment, determined by a background investigation
May be required to successfully complete a probationary period
Complete the initial online assessment and USAHire Assessment, if required
This position is eligible for inclusion in the bargaining unit.
if the duty station is finalized in the Washington, DC metropolitan area, employees in this position will be represented by the American Federation of Government Employees (AFGE) Local 32. (BU Code - 2286)
if the duty station is finalized outside of the Washington, DC metropolitan area, this position will not be represented by a bargaining unit. (BU Code - 7777)
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.
For the GS 13: 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-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.
Additional information
Relocation expenses will not be paid.
This job opportunity announcement may be used to fill additional similar vacancies across OPM.
Veterans Employment Opportunity Act (VEOA): To be eligible for a VEOA appointment under Merit Promotion procedures, the veteran must be a preference eligible or a veteran separated after 3 years or more of continuous active service performed under honorable conditions.
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