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 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: OLS (Online Service) 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 non-technical 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 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. 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.

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 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: Specialized experience: GS-14 Level: You must have 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 must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment. Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience with evaluative methods based on analytical skills and experiences balancing project and technological risk of the advanced solution's design, development and implementation. Experience defining data science problems and generating solution designs.Experience communicating a synthesis of data science topics or issues and analytics solutions. Experience applying effective communication, both orally and in writing to articulate findings and recommendations. Experience with data preparation methods such as, feature creation, exploratory data analysis, model creation, and data visualization. Experience developing machine learning and AI models. Experience using data analysis, data visualization, and data reporting tools such as Power BI or Tableau. Experience researching and applying internal guidelines, policies, and procedures in order to adapt them to varying circumstances, including resolving conflicts between directives and guidance from different sources. 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. 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]