Data Scientist

Columbia, DC, US • Posted 6 hours ago • Updated 6 hours ago
Full Time
On-site
USD $143,913.00 - 187,093.00 per year
Fitment

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Job Details

Skills

  • Fraud
  • Algorithms
  • Data Manipulation
  • Presentations
  • Large Language Models (LLMs)
  • Generative Artificial Intelligence (AI)
  • Data Extraction
  • Microsoft Power BI
  • Cloud Computing
  • Microsoft Azure
  • Amazon Web Services
  • Regression Analysis
  • Statistics
  • Time Series
  • Forecasting
  • Data Visualization
  • Project Management
  • Performance Management
  • Preventive Maintenance
  • Pure Data
  • Reporting
  • Onboarding
  • Writing
  • Procurement
  • Analytics
  • Data Quality
  • Programming Languages
  • Python
  • R
  • SQL
  • SAS
  • Tableau
  • Training
  • SAP BASIS
  • HR Management
  • HTTP
  • Documentation
  • Salesforce.com
  • Data Science
  • Machine Learning (ML)
  • Analytical Skill
  • Leadership
  • RADIUS
  • Human Resources
  • Promotions
  • Management
  • Finance
  • Coaching
  • Law
  • Productivity
  • Telecommuting
  • Military
  • Recruiting

Summary

Summary

The Office of Small and Disadvantaged Business Utilization (OSDBU) promotes opportunities for Service-Disabled Veteran Owned Small Businesses (SDVOSB), and Veteran Owned Small Businesses (VOSB). The primary function for this position is to serve as a Data Scientist. Incumbent analyzes a variety of OSDBU functions for continued efforts to identify deficits, improve efficiencies, and combat identified fraud, waste, and abuse.

Learn more about this agency

Duties

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Duties include but not limited to:

  • Plan and oversee data science projects.
  • Develop logic, code, models, and reporting structures.
  • Serve as the technical expert in area of data science to OSDBU staff.
  • Develop algorithms to support data manipulation and processing to tailor presentation of findings.
  • Apply large language model and generative AI capabilities to conduct data extraction without preset specifications.
  • Lead projects identifying methods to extract and interpret findings from datasets related to the data science lifecycle.
  • Work with data science tools Python, R, SQL, Tableau, Microsoft Power BI, SAS, and cloud platforms (e.g. Azure, AWS).
  • Lead projects using regression and statistical analysis, machine learning, time series forecasting, and data visualization.

Work Schedule: Monday - Friday, 8:00am - 4:30pm

Compressed/Flexible: May be available at Manager's discretion.

Telework: As determined by agency policy.

Virtual: This is not a virtual position.

Position Description/PD#: PD001500

Relocation/Recruitment Incentives: Not Authorized

Financial Disclosure Report: Not required

Requirements

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Conditions of employment

Conditions of Employment

  • Selective Service Registration is required for males born after 12/31/1959
  • You may be required to serve a probationary period
  • Subject to background/security investigation
  • Selected applicants will be required to complete an online onboarding process
  • Acceptable form(s) of identification will be required to complete pre-employment requirements (;/li>
  • Effective May 7, 2025, driver's licenses or state-issued identification cards that are not REAL ID compliant cannot be utilized as an acceptable form of identification for employment.

As a condition of employment for accepting this position, you may be required to serve a one year probationary period or two year trial period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider:

  • your performance and conduct;
  • the needs and interests of the agency;
  • whether your continued employment would advance organizational goals of the agency or the Government; and
  • whether your continued employment would advance the efficiency of the Federal service.

Upon completion of your probationary period one year probationary period or two year trial period your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.

Qualifications

To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 08/20/2026.

Time-In-Grade Requirement: Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. For a GS-14 position you must have served 52 weeks at the GS-13. The grade may have been in any occupation, but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. If the most recent SF-50 has an effective date within the past year, it may not clearly demonstrate you possess one-year time-in-grade, as required by the announcement. In this instance, you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade. Note: Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment. See the Required Document section below for more information regarding the SF-50s needed to verify time-in-grade.

You may qualify based on your experience as described below:

Specialized Experience: You must have one year of specialized experience equivalent to at least the next lower grade GS-13 in the normal line of progression for the occupation in the organization. Examples of specialized experience would typically include, but are not limited to: .

  • Planning and leading complex data science projects across the full analytical lifecycle.
  • Managing projects that are broadly defined or novel in nature with no established precedent.
  • Supporting procurement analytics, small business program participation and utilization trends.
  • Technical authority providing guidance on quantitative methodologies, data strategy, and interpretation of results.
  • Identifying and mitigating data quality risks to include PII exposure, outdated datasets, and system integrity issues.
  • Expert-level proficiency in programming languages and analytical platforms (i.e. Python, R, SQL, SAS, and Tableau).

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.

Physical Requirements: The work is primarily sedentary.

For more information on these qualification standards, please visit the United States Office of Personnel Management's website at http://://;br>
The Interagency Career Transition Assistance Plan (ICTAP) and Career Transition Assistance Plan (CTAP) provide eligible displaced Federal/VA competitive service employees with selection priority over other candidates for competitive service vacancies. To be qualified you must submit appropriate documentation (a copy of the agency notice, your most recent performance rating, and your most recent SF-50 noting current position, grade level, and duty location) and be found well-qualified for this vacancy. To be found well qualified, applicants must meet the following qualifications: Serve or has served as a senior-level Data Scientist or comparable analytical leadership role, with demonstrated experience leading complex data science initiatives in support of federal program operations; Applying advanced statistical, mathematical, and computational methods to large structured and unstructured datasets; Developing and deploying predictive models and machine learning solutions; and translating analytical findings into evidence-based strategic recommendations for executive leadership. Information about ICTAP and CTAP eligibility is on OPM's Career Transition Resources website at ;br>
Local Commuting Area: The local commuting area for this position is defined as a radius of 50 miles from Washington, DC. This includes all locations that fall within a 50-mile driving distance from 810 Vermont Ave NW, Washington, DC 20420.

Education

There is no educational substitution at this grade level.

Additional information

Under the Fair Chance to Compete Act, the Department of Veterans Affairs prohibits requesting an applicant's criminal history prior to accepting a tentative job offer. For more information about the Act and the complaint process, visit Human Resources and Administration (HRA) at The Fair Chance Act.

Special Employment Consideration: VA encourages persons with disabilities to apply, including those eligible for hiring under 5 CFR 213.3102(u), Schedule A, Appointment of persons with disabilities [i.e., intellectual disabilities, severe physical disabilities, or psychiatric disabilities], and/or Disabled veterans with a compensable service-connected disability of 30% or more. Contact the Agency Contact for information on how to apply under this appointment authority via the Selective Placement Coordinator.

Placement Policy: The posting of this announcement does not obligate management to fill a vacancy or vacancies by promotion. The position may be filled by reassignment, change to lower grade, transfer, appointment, or reinstatement. Management may use any one or any combination of these methods to fill the position.

It is the policy of the VA to not deny employment to those that have faced financial hardships or periods of unemployment.

This job opportunity announcement may be used to fill additional vacancies.

Veterans and Transitioning Service Members: Please visit the VA for Vets site for career-search tools for Veterans seeking employment at VA, career development services for our existing Veterans, and coaching and reintegration support for military service members.

For more information on the "Who may apply" eligibility requirements, please refer to the OHRM Status Candidates and Other Candidate Definitions document.

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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

Benefits

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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.

VA supports the use of telework as a way to help attract and retain talented individuals in public service, increase worker productivity, and better prepare the agency to operate during emergencies. This position may be authorized for telework. Telework eligibility will be discussed during the interview process.

Receiving Service Credit or Earning Annual (Vacation) Leave: Federal Employees earn annual leave at a rate (4, 6 or 8 hours per pay period) which is based on the number of years they have served as a Federal employee. VA may offer newly-appointed Federal employee's credit for their job-related non-federal experience or active duty uniformed military service. This credited service can be used in determining the rate at which they earn annual leave. Such credit must be requested and approved prior to the appointment date and is not guaranteed.

Review our benefits

Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10124748
  • Position Id: 36132bf90e99c2ea32f9edcfbb3ad909
  • Posted 6 hours ago
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