Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information. WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? Visit us on the web at www.jobs.irs.gov

Duties

WHAT IS THE HUMAN CAPITAL OFFICEDIVISION? 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 Office of Human Resource Strategy Human Capital Data Management and Technology The following are the duties of this position at the full working level. Provides leadership and direction to broad research of major importance, difficulty, and complexity using any human capital related data, directed toward significant topics involving HCO. Applies professional knowledge of cloud environments such as Microsoft Azure, Oracle, SAP, etc.. and large disparate enterprise data preferably sensitive human capital transactions and economics data. Applies professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design and construct new processes for analytical modeling, interpreting models, and/or reporting information, trends, relationships and correlations among or within human capital data. Participates as a Senior Data Scientist in the advanced analytics projects undertaken; interpreting requirements, assisting in the development or solution designs and other project artifacts, and the delivery of data science and analytics tasks required. This includes developing programming, reviewing, testing, and deploying, while providing communication and knowledge management within and outside the team. The incumbent will design processes for data extraction, loading, transformation, governance, and cataloguing to speed up deployment and decision making. The incumbent defines advanced analytics and AI project objectives, effectiveness and expected outcomes. Identify and/or develop innovative and effective novel approaches and methodologies; applies science techniques, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes. The incumbent is responsible for the coding and development of algorithms and/or using tools data manipulation, processing, and data visualization. The incumbent will be responsible for articulating findings and distribution of reports and dashboards.

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 All GRADES: EDUCATION: A 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: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience. AND SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience planning and executing a variety of projects and in making recommendations requiring technical and administrative judgment. Experience developing long- and short-term program plans, assess resource utilization, initiate, or recommend new or revised processes and procedures. Experience applying statutory, regulatory and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience with research and study design from the formulation of concepts through specification and analysis of output to the presentation of conclusions. Experience with project planning techniques along with negotiating with management to accept and implement recommendations. Experience preparing and analyzing structured and unstructured datasets. Experience coding in various programming languages. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. Experience preparing written and oral communications, to produce authoritative reports, position papers, briefings, and presentations that effectively communicates ideas to IRS executives, managers, and technical experts. 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 - Human Capital Data Management and Technology 1111 Constitution Ave NW Washington, DC 20224 US
• Name: IRS Memphis External
• Email: [email protected]