Data Scientist

Duties

WHAT IS THE HUMAN CAPITAL OFFICEDIVISION?

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:

Human Capital Office of Human Resource Strategy Human Capital Data Management and

Technology

The following are the duties of this position at the full working level.

• Provides leadership and direction to broad research of major importance, difficulty, and complexity using

any human capital related data, directed toward significant topics involving HCO.

• Applies professional knowledge of cloud environments such as Microsoft Azure, Oracle, SAP, etc.. and

large disparate enterprise data preferably sensitive human capital transactions and economics data.

• 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 information, trends, relationships and correlations among or within human capital

data.

• Participates as a Senior Data Scientist in the advanced analytics projects undertaken; interpreting

requirements, assisting in the development or solution designs and other project artifacts, and the delivery

of data science and analytics tasks required. This includes developing programming, reviewing, testing,

and deploying, while providing communication and knowledge management within and outside the team.

The incumbent will design processes for data extraction, loading, transformation, governance, and

cataloguing to speed up deployment and decision making.

• The incumbent defines advanced analytics and AI project objectives, effectiveness and expected

outcomes. Identify and/or develop innovative and effective novel approaches and methodologies; applies

science techniques, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and

optimization; and validates analysis and outcomes. The incumbent is responsible for the coding and

development of algorithms and/or using tools data manipulation, processing, and data visualization. The

incumbent will be responsible for articulating findings and distribution of reports and dashboards.

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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))

• A 1-year probationary period is required.

• Have your salary sent to a financial institution of your choice by Direct Deposit/Electronic Funds Transfer.

• Undergo a review of prior performance/conduct and an income tax verification. Refer to "Get Your Tax Record" at http://www.irs.gov/(https://www.irs.gov/individuals/get-transcript) 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.

• This position requires that the successful candidate undergo personnel vetting, which includes a background investigation and enrollment upon onboarding into "Continuous Vetting." Enrollment in Continuous Vetting will result in automated record checks being conducted throughout one's employment with Treasury. The successful candidate will also be enrolled into FBI's Rap Back service, which will allow Treasury to receive notification from the FBI of criminal matters (e.g., arrests, charges, convictions) involving enrolled individuals in near real-time. For more information regarding your rights refer to Noncriminal Justice Applicant's Privacy Rights

• FBI, FD-258 Privacy Act Statement

• FBI, and SEAD-3-Reporting-U.pdf (dni.gov).

• Complete a Declaration for Federal Employment to determine your suitability for Federal employment, at the time requested by the agency.

• 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.

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:

BASIC REQUIREMENTS All GRADES:

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.

AND

SPECIALIZED EXPERIENCE GRADE 14:

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.

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.

AND

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

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

• 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.

• 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 employment of any candidate, including a current employee or a new hire, selected for this position may be conditional upon classification and/or audit of federal tax returns. This audit may include up to 2 years of returns.

• 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, FairChanceAct@treasury.gov. To learn more, please visit our page at: Treasury.gov/fairchanceact.

• Obtain and use a Government-issued charge card for business-related travel.

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