Positions under this announcement are being filled using a Direct Hire Authority (DHA). 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 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.

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 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. SPECIALIZED EXPERIENCE FOR GS-13: 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). SPECIALIZED EXPERIENCE FOR GS-14: 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 PowerBI 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. 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 OLS 1111 Constitution Ave NW Washington, DC 20224 US
• Name: (ERC) Employee Resource Center
• Phone: 866-743-5748
• Email: [email protected]