Job opening: Data Scientist- Direct Hire (6 Month Roster)

Salary: $122 198 - 191 900 per year

Published at: Feb 16 2024

Employment Type: Full-time

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 RAAS - Research, Applied Analytics and Statistics DIVISION? 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: Research, Applied Analytics and Statistics DUTIES: Responsible for the growth of data in the statistics and reporting environment by leading the certification of data sets that are available for reporting, collaborating with IRS information technology leaders on desired new technologies and techniques to create efficient processes around data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business units. Combines, analyzes, and interprets large and/or complex data sets to develop organizational solutions. 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. Uses emerging technology, and various data sources to perform exploratory analyses on new and archival data sources. Conducts in-depth analysis of data and disseminates the results of those analyses. 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. Conducts statistical analysis to make informed projections and recommendations. 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. Advises on the potential benefits/uses of automation to improve the efficiency of program operations. Analyzes a variety of data sources to provide data driven insights to the RAAS organization to streamline processes. 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-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 closing date of this announcement OR time of referral: BASIC REQUIREMENT : EDUCATION: A 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: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph 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: In addition to the basic requirements, 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 applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience planning and executing a variety of projects and in making recommendations requiring technical and administrative judgment. Experience developing long- and short-term program plans, assess resource utilization, initiate, or recommend new or revised processes and procedures. Experience applying statutory, regulatory and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience with research and study design from the formulation of concepts through specification and analysis of output to the presentation of conclusions. Experience with project planning techniques along with negotiating with management to accept and implement recommendations. Experience preparing and analyzing structured and unstructured datasets. Experience coding in various programming languages. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. Experience preparing written and oral communications, to produce authoritative reports, position papers, briefings, and presentations that effectively communicates ideas to IRS executives, managers, and technical experts. 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.