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Data Scientist (12 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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Hiring complete
Open & closing dates
05/22/2023 to 12/05/2023
Salary
$98,496 to - $158,432 per year
Pay scale & grade
GS 13
Locations
10 vacancies in the following locations:
(AL2393) 5123 RESEARCH DR NW
Huntsville, AL
(CA0150) 300 N LOS ANGELES ST
Los Angeles, CA
(CA0281) 1301 CLAY ST
Oakland, CA
(CA0316) 333 W BROADWAY
San Diego, 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
13
Job family (Series)
Supervisory status
No
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Non-sensitive (NS)/Low Risk
Trust determination process
Announcement number
23-11936377L-OSB-1560-13
Control number
726410400

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

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.

  • Participates as a 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 participating in code reviews and coordinating and getting acceptance on various delivery items the incumbent is responsible for, and providing clear verbal and written communications within and outside the Team. The incumbent will also be required to provide trainings on and outside the Team, and to be engaged as a Mentor to junior Data Scientists. The incumbent will be 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. The incumbent will be developing designs for data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business using an selected tools and platforms while strengthening standards and governance.
  • 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.
  • The Incumbent works with the Team Lead to define advanced analytics, M/L and AI project objectives. Works to define metrics and measures of effectiveness and expected outcomes. Works with the Team Lead to identify and/or develop innovative and effective novel 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. The Incumbent is responsible for the coding and development of algorithms and/or using tools such as PowerBI to support data manipulation, processing, and data visualization. The Incumbent will be responsible for articulating findings and distribution of reports and dashboards.
  • 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 - recommends data collection, integration, and retention requirements; and makes recommendations for improvements to methods and algorithms, based on knowledge of best practices.

Requirements

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Conditions of employment

STANDARD POSITION DESCRIPTIONS (SPD):
PD22389

Visit the IRS SPD Library to access the position descriptions.

  • 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.
  • 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.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:

GS-13 SPECIALIZED EXPERIENCE: You must have 1 year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position must include experience applying design and implementation of data science and analytical methods such as exploratory data analysis, descriptive analytics, and predictive analytics using machine learning. Experience with solution design techniques, implementation approaches, and analytics. Experience carrying out advanced analytics tasks on projects such as data preparation to deal with data outliers or missing data. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio. Experience applying effective communication, both orally and in writing to articulate findings and recommendations and to prepare reports and assessments for management. Experience in applying more than one data science model or algorithm and selecting the best using a performance metric like Area Under the Curve (AUC). Experience with the iterative processes required in carrying out data science projects such as identifying the business problem to be solved and data available to solve the problem, carrying out data preparation and feature engineering, and building models designed to solve the problem. Experience using data preparation methods, feature engineering, exploratory data analysis, predictive model creation, and designing and creating data visualizations. Experience with data analysis tools, data visualization tools, and data reporting platforms and tools such as, PowerBI, Tableau or other data analysis and visualization tools to tell stories with data and analysis (e.g., time series, cohort analysis, clustering analysis, trend analysis, principal components analysis, other data analysis).

AND

TIME-IN-GRADE REQUIREMENTS: Under merit promotion procedures, applicants must satisfy time-in-grade requirements contained in 5 CFR 300, Subpart F. Time is credited based on calendar time served in a grade, regardless of the number of days or hours worked.

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 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.
  • Alternative work schedule, staggered work hours or telework may be available.
If the position(s) are no longer needed prior to the closing date, this announcement may be closed early. This is an open continuous announcement which will be used to fill vacancies in the locations listed as they become available for the next 12 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): 6/5/2023, 9/26/2023, 12/26/2023, 3/25/2024. This announcement may be amended to include additional cut-off dates within the 12month 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. Selections from this announcement may be made no later than (NLT) 6/24/2024.

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.

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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