This Data Scientist (Statistician) - Direct Hire position is with Internal Revenue Service (Department of the Treasury) in Glendale, AZ.
WHAT IS LARGE BUSINESS AND INTERNATIONAL DIVISION? A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions Position is to be filled in the following area(s): LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration. REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS
Key duties:
• 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. Serves as a technical expert with responsibility for the initiation, planning, implementation, controlling, modifying and executing of all or part of an entire project, including such tasks as formulation of workload estimates for program segments, specification of the methodology to be used, preparation of appropriate specifications and procedures, and review of computer systems specifications and materials and instructions needed for assuring the adequacy of the project's design and objectives. Explores novel methods of retrieving data and develops innovative recommendations to management and senior leadership as a means for making data driven decisions which may result in a modification of policies and/or processes. Reviews, evaluates, validates, and documents the results of the findings. Provides highly technical advice to the all levels of management throughout the Agency as needed. Takes a leadership role in the development of policy and guidance, and development of recommendations to improve the effectiveness of the organization. Actively assists in the implementation of administrative and technical decisions and ensures accomplishment of the desired results. Formulates policies, develops program plans, designs and issues directives and instructions, and develops recommendations to improve business systems policy to business executives.
Qualifications:
Federal experience is not required. Experience may have been gained in the public sector, private sector or through 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/day/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. QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below: BASIC REQUIREMENTS (IOR) ALL GRADES: EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. OR COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. AND SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (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 includes: Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects. Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis. Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects. Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions. Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks. Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects. Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products. AND You must also meet the following requirements: MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have: Graduated from high school or been awarded a certificate equivalent to graduating from high school; or Completed a formal vocational training program; or Received a statement from school authorities agreeing with your preference for employment rather than continuing your education For more information on qualifications please refer to OPM's Qualifications Standards.
View the full announcement and apply on USAJOBS.gov.