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Duties

WHAT IS THE OFFICE OF ONLINE SERVICESDIVISION? 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: ONLINE 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. Participates as a 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 participating in code reviews and coordinating and getting acceptance on various delivery items the incumbent is responsible for, and providing clear verbal and written communications within and outside the Team. The incumbent will also be required to provide trainings on and outside the Team, and to be engaged as a Mentor to junior Data Scientists. 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 developing designs for data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business using an selected tools and platforms while strengthening standards and governance. 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 quantitative information, trends, relationships and correlations among or within data. The Incumbent works with the Team Lead to define advanced analytics, M/L and AI project objectives. Works to define metrics and measures of effectiveness and expected outcomes. Works with the Team Lead to identify and/or develop innovative and effective novel approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, 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 such as PowerBI to support data manipulation, processing, and data visualization. The Incumbent will be responsible for articulating findings and distribution of reports and dashboards. Utilizes an in-depth knowledge of data science techniques and methodologies such as machine learning, predictive analysis, prescriptive analysis and optimization, and other emerging analytical techniques to assist, consult, or lead others in the application of data science techniques. Defines and documents the specific analytics approaches applied in project delivery; establishing success metrics to be used in satisfying business's requirements for project outcomes; and establishing key performance indicators to be used in ongoing reporting that measure the value creation delivered by the project over time. Drives pragmatic approaches to solving key complex business problems through data analysis, predictive modeling and machine learning techniques and be responsible for data acquisition of the right data to fuel selected techniques as necessary - recommends data collection, integration, and retention requirements; and makes recommendations for improvements to methods and algorithms, based on knowledge of best practices. Participates as a hands-on team member for the advanced analytics projects undertaken, defining, coding, coordinating, evaluating, and analyzing model performance. This includes getting signoffs on project documentation, participating in code reviews, and coordinating and getting project delivery acceptance.

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: SPECIALIZED EXPERIENCE: GS-13 LEVEL: You must have 1 year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position must include experience applying design and implementation of data science and analytical methods such as exploratory data analysis, descriptive analytics, and predictive analytics using machine learning. Experience with solution design techniques, implementation approaches, and analytics. Experience carrying out advanced analytics tasks on projects such as data preparation to deal with data outliers or missing data. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio. Experience applying effective communication, both orally and in writing to articulate findings and recommendations and to prepare reports and assessments for management. Experience in applying more than one data science model or algorithm and selecting the best using a performance metric like Area Under the Curve (AUC). Experience with the iterative processes required in carrying out data science projects such as identifying the business problem to be solved and data available to solve the problem, carrying out data preparation and feature engineering, and building models designed to solve the problem. Experience using data preparation methods, feature engineering, exploratory data analysis, predictive model creation, and designing and creating data visualizations. Experience with data analysis tools, data visualization tools, and data reporting platforms and tools such as, PowerBI, Tableau or other data analysis and visualization tools to tell stories with data and analysis (e.g., time series, cohort analysis, clustering analysis, trend analysis, principal components analysis, other data analysis). 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 1111 Constitution Ave NW Washington, DC 20224 US
• Name: (ERC) Employee Resource Center
• Phone: 866-743-5748
• Email: [email protected]