Data scientist - direct

Duties WHAT IS THE RAAS - Research, Applied Analytics and Statistics DIVISION? A description of the business units can be found at: 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.
  

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 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, . 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 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. Additional information

• A 1-year probationary period is required.
• Have your salary sent to a financial institution of your choice by Direct Deposit/Electronic Funds Transfer.
• If you are a male applicant born after December 31, 1959, certify that you have registered with the Selective Service System or are exempt from having to do so.
• We may select from this announcement or any other source to fill one or more vacancies. Additional jobs may be filled.
• The salary range indicated in this announcement reflects the minimum locality pay up to maximum locality pay for all duty locations listed. The range will be adjusted for selected duty location. General Schedule locality pay tables may be found under Salaries & Wages.
• This is a non-bargaining unit position.
• Tour of Duty: Day Shift
• Alternative work schedule, staggered work hours or telework may be available..
• In the event that a building is closed due to rent management, new hires may be placed in a local commuting location.
• Relocation expenses - no
• Obtain and use a Government-issued charge card for business-related travel.
  

This is an open continuous announcement which will be used to fill vacancies in the locations listed as they become available for the next 6 months contingent upon funding and space requirements. Applicants must apply and/or update their applications by 11:59 pm ET at the close of the following cutoff dates to be considered: Cutoff date(s): 04/29/2024, 5/29/2024. This announcement may be amended to include additional cut-off dates within the 6-month period if needed, not later than 10 days prior to the additional cut-off date(s). Eligible applicants who apply by the initial cut-off date, will be referred in score order. If additional vacancies exist, remaining applicants will be considered in score order as needed. Read more