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Duties

WHAT IS THE ONLINE SERVICES 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: OLS - USER EXPERIENCE SERVICES The following are the duties of this position at the full working level. If this vacancy includes more than one grade and you are selected at a lower grade level, you will have the opportunity to learn to perform these duties and receive training to help you grow in this position. 1. Participates as a Data Scientist in the advanced analytics projects undertaken; assisting in the interpretation 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. This includes participating in code reviews and assisting in the coordination of, and getting acceptance for, delivery item acceptance. The incumbent is responsible for clear verbal and written communications, assist in providing provide trainings on and outside the Team, and to be engaged as a Mentee as the Data Scientist on the Team. The incumbent will be responsible for constantly holding the picture of OLS and the IRS's drive for digital and cultural transformation to a customer-centric orientation with a data and analytics emphasis by improving the overall data and analytics environment while being pragmatic and agile and in synch with the needs of the business at all times. The incumbent will be assisting in data extraction, data loading, data transformation, data and analytics governance, and data cataloguing for better and reduced time to insights. The incumbent will attain high proficiency on our data science and analytics tools and platforms while strengthening standards and governance of each by participating in standards and governance activities. (Approx. 50%) 2. The Data Scientist applies their 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. The Data Scientist is expected to be expert at the development of exploratory data analysis plans and be highly proficient at carrying out the INTERNAL REVENUE SERVICE STANDARD POSITION DESCRIPTION SPD# 22388 Page 2 analysis with little or no supervision. The Data Scientist is also expected to have an advanced level of descriptive analysis skills to generate simple summaries and measures in analytics tools such as PowerBI. (Approx. 25%) 3. The Incumbent works with the Team Lead and Data Scientists and the business to define advanced analytics, M/L and AI project objectives, assist in the definition of measures, facts and dimensions of effectiveness and expected outcomes that create business value, and assist others on the Team in the identification and/or develop of innovative and effective novel analytics approaches and methodologies. The Data Scientist is expected to be able to assist in the application of advanced quantitative analysis. The Incumbent is expected to have basic proficiency in scripting and analytics tools and is required to assist in planning, development, test and production of analytics models, reporting and dashboarding. (Approx. 15%) 4. The Data Scientist participates as a hands-on team member for the advanced analytics projects undertaken, defining, coding, coordinating, evaluating, and analyzing model performance. The incumbent will assist Team members and carry out tasks based on an in-depth knowledge of data science techniques and methodologies such as machine learning, as well as other emerging analytical techniques. The incumbent will document the specific analytics approaches applied in project delivery; assist in the establishment and measurement and monitoring of success metrics to be used in satisfying business's requirements for project outcomes. The Data Scientist will help drive pragmatic approaches to solving business problems through data analysis, predictive modeling and machine learning techniques and be responsible for carrying out tasks as assigned. The Data Scientist will assist in the recommendation and documentation for data collection, integration, and retention requirements; and make assist in the recommendation and documentation of improvements to analytical methods and algorithms. (Approx. 10%) Performs other duties as assigned.

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-time work 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 REQUIREMENT : 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 includes: 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

A copy of your transcripts or equivalent documentation is required for positions with an education requirement, or if you are qualifying based on education or a combination of education and experience. An official transcript will be required if you are selected. If the position has specific education requirements and you currently hold, or have previously held, a position in the same job series with the IRS, there is no need to submit a transcript or equivalent at this time. Applicants are encouraged, but are not required, to submit an SF-50 documenting experience in a specific series.

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 OLS - User Experience Services 1111 Constitution Ave NW Washington, DC 20224 US
• Name: (ERC) Employee Resource Center
• Phone: 866-743-5748