Description

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 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 Senior Data Scientist in the advanced analytics projects undertaken; defining, approving, coordinating, evaluating, and analyzing team performance with responsibility for resolving gaps, conflicts and the day-to-day performance of the team assigned; driving the team toward the desired outcomes of projects. This includes getting signoffs on project documentation, participating in code reviews, and coordinating and getting project delivery acceptance. Leads verbal and written communications with business partners at all levels to clearly articulate the approach and the findings of interpretable analytical models and ensure that outcomes of the project are fully understood and to provide trainings on complex analytics solutions. Consults with senior level managers, executives, and a variety of other technical and nontechnical staff within OLS and across the IRS as required for specific policy interpretations and translation of technical problems and conditions. 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. Responsible for the growth of data in the OLS data and reporting environment by leading the certification of data sets available for reporting, collaborating with IRS information technology leaders on desired new technologies and techniques to create efficient process around data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business. 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. Leads the digital data and analysis efforts related to developing and implementing customer strategy, digital design of products and services, and support platform development. The incumbent focuses on analyzing and supporting the development of enhanced user experiences and engagement through the entire lifecycle of customers' interactions. The employee is responsible for making sure reports, analyses, and dashboards accurately reflect vital information about the IRS' digital services. Consults with senior level managers, executives, and a variety of other technical and non-technical staff within OLS for the advancement of the OLS analytics roadmap to enable the business with enhanced data capabilities needed by the business to achieve its specific goals. Defines advanced analytics, M/L and AI project objectives, collaborates with the business for requirement, defines metrics and measures of effectiveness, and expected outcomes; identifies and/or develops innovative and effective 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. Identifies the methods, processes, algorithms, tools, and systems to extract and interpret findings from various structured and unstructured data sets related to the data science lifecycle. Responsible for the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. Help Requirements Conditions of Employment Telework Eligible Positions: Telework eligible positions do not guarantee telework. Employees must meet and sustain IRS telework eligibility requirements (e.g., reporting at least twice a pay period to your assigned Post of Duty (POD)) and supervisor's approval to participate in the IRS Telework Program. Employees must also be within a 200-mile radius of their official assigned post-of-duty (POD) while in a telework status. As a reminder - If you are selected for a position, you are responsible for reporting to your designated POD (location) on the negotiated start date or as directed by management. Must be a U.S. Citizen or National and provide proof of U.S. Citizenship. (Birth certificate showing birth in the U.S; Unexpired U.S. Passport; Certificate of Citizenship or Naturalization; or Report of Birth Abroad of a U.S. Citizen (Form FS-240)) Undergo a review of prior performance/conduct and an income tax verification. Refer to "Get Your Tax Record" at http://www.irs.gov/(https://www.irs.gov/individuals/get-transcript) to check the status of your account, balance owed, payment history, make a payment, or review answers to tax questions. If you are not in compliance, you will be determined unsuitable for employment with IRS. Must successfully complete a background investigation, including a FBI criminal history record check (fingerprint check). Complete a Declaration for Federal Employment to determine your suitability for Federal employment, at the time requested by the agency. Go through a Personal Identity Verification (PIV) process that requires two forms of identification from the Form I-9. Federal law requires verification of the identity and employment eligibility of all new hires in the U.S. These documents must be unexpired original or certified copies. The Fair Chance to Compete for Jobs Act prohibits the Department of Treasury and its bureaus from requesting an applicant's criminal history record before that individual receives a conditional offer of employment. In accordance with 5 U.S. Code § 9202(c) and 5 C.F.R § 920.201 certain positions are exempt from the provisions of the Fair Chance to Compete Act. Applicants who believe they have been subjected to a violation of the Fair Chance to Compete for Jobs Act, may submit a written complaint to the Department of Treasury by email at, [email protected]. To learn more, please visit our page at: Treasury.gov/fairchanceact. 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 losing date of this announcement OR time of referral: BASIC REQUIREMENTS All GRADES: 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.

Role and Responsibilities

• Participates as a Senior Data Scientist in the advanced analytics projects undertaken; defining, approving, coordinating, evaluating, and analyzing team performance with responsibility for resolving gaps, conflicts and the day-to-day performance of the team assigned; driving the team toward the desired outcomes of projects. This includes getting signoffs on project documentation, participating in code reviews, and coordinating and getting project delivery acceptance. Leads verbal and written communications with business partners at all levels to clearly articulate the approach and the findings of interpretable analytical models and ensure that outcomes of the project are fully understood and to provide trainings on complex analytics solutions. Consults with senior level managers, executives, and a variety of other technical and nontechnical staff within OLS and across the IRS as required for specific policy interpretations and translation of technical problems and conditions. 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. Responsible for the growth of data in the OLS data and reporting environment by leading the certification of data sets available for reporting, collaborating with IRS information technology leaders on desired new technologies and techniques to create efficient process around data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business.