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Duties

WHAT IS THE HCO- HUMAN CAPITAL OFFICE DIVISION? A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions Vacancies will be filled in the following specialty areas: Human Capital Strategy Planning The following are the duties of this position at the full working level. Collaborates with business and technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions. Provide a robust data visualization platform to translate complex business needs, requirements and strategy, multiple data sets and other data points into conceptual, relevant, and straightforward visual tools, reports, and analytical solutions. The analyst uses extensive knowledge of business intelligence, plots, information graphics and quantitative data to design, prepare, test, validate and deploy compelling, insightful, and timely delivered data visualization tools. The incumbent will work closely with HCO Labor Relations personnel to execute studies, use of sensitive data, and provide executive briefings for labor relations, labor contracts, bargaining strategy, settlement agreements, business unit outreach, and special projects. The incumbent's analyses and recommendations have a direct impact on influencing human capital policies and practices, union negotiation and improving the overall utilization of HCO resources. Develop standard templates and data/information displays that communicate complete information in simple, insightful ways that accelerate decisions and improve accountability. Translate abstract information and connection points among a variety of data sets, enabling the creation of accurate, clear, concise and near real time cross-functional reporting for IRS and Human Capital leadership to gain and/or improve insights which drive strategic decision-making and formal business actions. This position has career progression. If you are selected at a grade level lower than the full working level, you may be non-competitively promoted as your career progresses. For example, you may be hired as a GS-05, but if the position has career progression to GS-11, then you may move from a GS-05 to a GS-11 in as little as three years.

Requirements

Qualifications

Federal experience is not required. The experience may have been gained in the public sector, private sector or Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume. You must meet the following requirements by the closing date of this announcement: BASIC REQUIREMENTS FOR ALL GRADES: A Bachelor's or higher degree in 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 Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GS-09 SPECIALIZED EXPERIENCE: You must have 1 year of specialized experience at a level of difficulty and responsibility equivalent to the GS-07 grade level in the Federal service. Specialized experience for this position must include: Experience reporting, logistics and other activities that advance the efforts of the Team to provide better analytics and data science services and improve the satisfaction of analytics stakeholders. Experience in usage reporting of analytics reports and dashboards; logistics support and training reporting; analytics governance and data catalog support and reporting. Experience updating and refining an analytics roadmap. Experience with supporting advanced analytics and data science demonstrations. Experience coordinating and updating a data science knowledge base coordination. Experience coordinating data science and advanced analytics knowledge sharing and organizing the production and distribution of data analytics articles, presentations, and demonstration to include logistics planning for these events. GS-11 SPECIALIZED EXPERIENCE: You must have 1 year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized experience for this position must include: Experience in usage reporting of analytics reports and dashboards; logistics support and training reporting; analytics governance and data catalog support and reporting. Experience with the continued update and refinement of a groups analytics roadmap. Experience with the promotion and coordination of advanced analytics and data science demonstrations and reporting on the results of such activities. Experience with coordinating a data science knowledge base coordination and maintain responsibility for its growth and improvement. Experience in coordination of data science and advanced analytics knowledge sharing working with and organizing the Data Scientists to produce and distribute articles, presentations and demos and managing the logistics and reporting on these activities. Experience working with other Team members to assist in the documentation of advanced analytic reports and dashboards, M/L and AI applied to projects, and to document the definition of measures, facts and dimensions of effectiveness. Experience in assisting in the basic application of advanced quantitative analysis with a basic proficiency in scripting and analytics tools and platforms. GS-12 SPECIALIZED EXPERIENCE: You must have 1 year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position must include: Participation in Data Scientist activities including projects related to advanced analytics involving exploratory data analysis, descriptive analytics, and predictive analytics using machine learning. Assisting in the interpretation of requirements, conducting exploratory data analysis, assisting in the development or solution designs and other project artifacts, and performing tasks assigned for the effective delivery of data science and analytics. Participation in code reviews and assisting in the coordination of, and getting acceptance for, delivery item acceptance. Assisting in data extraction, data loading, data transformation, data and analytics governance, and data cataloguing for better and reduced time to insights. Application of professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design, and assist in the construction of new processes for analytical modeling, model interpretation, and/or assisting in the reporting of quantitative information, data trends, data relationships and data correlations among or within data. Working under a Team Lead to define advanced analytics, M/L and AI project objectives, assist in the development of training data pipelines, and separately data modeling that leverages fact dimensional approaches and conformed dimensions. AND MEET TIME IN GRADE (TIG) REQUIREMENT: You must meet applicable TIG requirements to be considered eligible. To meet TIG for positions above the GS-05 grade level, you must have served at least one year (52 weeks) at the next lower grade (or equivalent) in the normal line of progression for the position you are applying to. Advancement to positions up to GS-05 is permitted if the position to be filled is no more than two grades above the lowest grade held within the preceding 52 weeks. AND TIME AFTER COMPETITIVE APPOINTMENT: By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens". For more information on qualifications please refer to OPM's Qualifications Standards.

Education

For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected.
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.

FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here for Foreign Education Credentialing instructions.

Contacts

• Address HCO OHRS - HC Strategy Planning 1111 Constitution Ave NW Washington, DC 20224 US
• Name: IRS Memphis External
• Email: [email protected]