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Data Scientist (6-Month Roster)

Department of the Treasury
Internal Revenue Service
This job announcement has closed

Summary

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

Overview

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Job canceled
Open & closing dates
01/13/2025 to 01/27/2025
Salary
$124,531 to - $195,200 per year
Pay scale & grade
GS 14
Locations
6 vacancies in the following locations:
(AL2393) 5123 Research Dr NW
Huntsville, AL
(AZ7748) 4041 N Central Ave
Phoenix, AZ
(CA0150) 300 N Los Angeles St
Los Angeles, CA
(CA0281) 1301 Clay St
Oakland, CA
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - You may be expected to travel for this position.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
14
Job family (Series)
Supervisory status
No
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Financial disclosure
No
Bargaining unit status
Yes
Announcement number
25-12664939K-OSB-1560-14
Control number
827793300

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Duties

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WHAT IS THE ONLINE SERVICESDIVISION?
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:
ANALYTICS Department ID#1200039202 (2) vacancies
ANALYTICS TEAM 1 Department #1200041337 (2) vacancies,
ANALYTICS TEAM 2 Department #1200041338 (2)

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

  • 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.
  • 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. Drives pragmatic
    approaches to solving key complex business problems through data analysis, predictive modeling and
    machine learning techniques and be responsible for data acquisition of the right data to fuel selected
    techniques as necessary.

Requirements

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Conditions of employment

STANDARD POSITION DESCRIPTIONS (SPD):
PD22390

Visit the IRS SPD Library to access the position descriptions.

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

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-time work 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 REQUIREMENT :
A Bachelor's or higher 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: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience.

Specialized experience: GS-14 Level: 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 Power BI 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.

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

A copy of your transcripts or equivalent documentation is required for positions with an education requirement, or if you are qualifying based on education or a combination of education and experience. An official transcript will be required if you are selected. If the position has specific education requirements and you currently hold, or have previously held, a position in the same job series with the IRS, there is no need to submit a transcript or equivalent at this time. Applicants are encouraged, but are not required, to submit an SF-50 documenting experience in a specific series.

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 (Section 3, Explanation of Terms) or 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 bargaining unit position.?
  • Tour of Duty: Day Shift - Start and stop times between 6:00 a.m. and 6:00 p.m.
  • Alternative work schedule, staggered work hours or telework may be available.
  • Relocation expenses - NO
  • 6 month Roster
  • In the event that a building is closed due to rent management, new hires may be placed in a local commuting location.
  • 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.
Please consider each location carefully when applying. If you are selected for a position at one of your location selections, that location will become your official post of duty.

This announcement will establish an inventory of applicants. This inventory will be used to fill vacancies in the locations listed and additional vacancies as they become available for the next 6 months contingent upon funding and space requirements. Applicants must apply by the closing date of the announcement (11:59 pm ET), 01/27/2025 to be considered.

For more information regarding Union Representation click here
National Treasury Employees Union - NTEU

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

Your application includes your resume, responses to the online questions, and required supporting documents. Please be sure that your resume includes detailed information to support your qualifications for this position; failure to provide sufficient evidence in your resume may result in a "not qualified" determination. Applicants who disqualify themselves will not be evaluated further.

Rating: Your application will be evaluated on the Critical Job Elements (CJE) of the position to be filled, in accordance with Article 13 of the IRS/NTEU National Agreement. Your application will also be rated and ranked among others, based on your responses to the online questions/assessment. Your experience, education, training, prior performance, and awards, relevant to the position being filled, will be considered throughout the hiring process. IRS employees may obtain most recent awards listing at https://persinfo.web.irs.gov/.

Referral: If you are among the top qualified candidates, your application may be referred to a selecting official for consideration. You may be required to participate in a selection interview (telephonic and/or in person at the discretion of the Selecting Official in accordance with hiring polices). We will not reimburse costs related to the interview such as travel to and from the interview site.

If you are a displaced or surplus Federal employee eligible for Career Transition Assistance Plan (CTAP), you must receive a score of 80 or better to be rated as well qualified to receive special selection priority.

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