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Data Scientist

Department of Energy
Department of Energy - Agency Wide
ST-Office of Scientific and Technical Information
This job announcement has closed

Summary

This position is part of the Office of Science - Office of Scientific and Technical Information, Department of Energy. As a Data Scientist, you will be responsible for supporting development, pipeline design, and implementation of applications supporting dissemination of the Department of Energy Research and Development information.

Overview

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Hiring complete
Open & closing dates
10/18/2024 to 11/07/2024
Salary
$86,962 to - $134,435 per year

Salary dependent on grade selected at time of application.

Pay scale & grade
GS 12 - 13
Location
1 vacancy in the following location:
Oak Ridge, TN
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
Moderate Risk (MR)
Trust determination process
Financial disclosure
No
Bargaining unit status
Yes
Announcement number
24-ST-00055-12576965-DH
Control number
814353000

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Duties

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As a Data Scientist, you will:

  • Develop and oversee computational algorithms and statistical methods to analyze data and find relationships and patterns in large volumes of data.
  • Analyze unique and highly specialized datasets using a variety of data analytic tools.
  • Ensure software architecture and data pipeline usage is in compliance with Federal requirements and regulations.
  • Recommend algorithms or tools to support the design and build of scalable data pipelines.
  • Develop, modify, and provide recommendations on data visualization, scientific and technical Artificial Intelligence (AI), and other data science tools (e.g., machine learning

Requirements

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Conditions of employment

  • You must be a U.S. Citizen or National.
  • This employer participates in the e-Verify program.
  • If you are a male applicant born after December 31, 1959, you must certify that you have registered with the Selective Service System or are exempt from having to do so under the Selective Service Law. See www.sss.gov.
  • If selected, your appointment may be subject to a suitability or fitness determination, as determined by a completed background investigation.
  • If selected, you may be required to complete a one year probationary period.
  • These positions are to be filled under the Infrastructure Investment and Jobs Act, Inflation Reduction Act or Scientific, Technical, Engineering and Mathematics (STEM) direct hire authority.
  • A preliminary background check must be completed before a new employee can begin work. Current Federal employees or other individuals with an existing completed background investigation may not be required to undergo another background check.
  • This position is included in a Bargaining Unit.

Qualifications

BASIC REQUIREMENT:
Degree:
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 in paragraph A above, plus additional education or appropriate experience.


GS-12 SPECIALIZED EXPERIENCE REQUIREMENTS: A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level GS-11 in the Federal service. Specialized experience for this position is defined as meeting 2out of 3 of the following:

  1. Identifying and analyzing advancements in application development concepts, techniques, and tools;
  2. Utilizing data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation;
  3. Assisting with coding in various programming languages (such as Python or JAVA) to conduct various phases of data science projects.
GS-13 SPECIALIZED EXPERIENCE REQUIREMENTS: A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level GS-12 in the Federal service. Specialized experience for this position is defined as meeting 2out of 3 of the following:
  1. Designing and developing data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence;
  2. Conducting analysis using software and/or programming languages such as Python or Java to test hypotheses and predict outcomes;
  3. Using data tools and techniques to process large datasets into structured formats for matching, analysis, or estimation

"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. 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.

CTAP/ICTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section.

You must meet all qualifications and eligibility requirements by the closing date of this announcement.

Education

This vacancy has a positive education requirement. In order to be rated as qualified, you must provide copies of your college transcripts. Failure to provide copies of your college transcripts may result in a rating of "Ineligible". Education must be obtained from an accredited institution recognized by the U.S. Department of Education. Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website.

Additional information

How you will be evaluated

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

This position is announced under a government-wide Direct-Hire Authority (DHA) for Data Scientist positions in the 1560 series. Under the DHA, applicants who meet the Education and Qualification requirements listed in this announcement will be referred for consideration. Veteran's Preference, category rating, and traditional rating and ranking of applicants do not apply under the DHA process.

Appointments made under the DHA are processed as "new" appointments. Current Federal employees may be required to serve a new probationary period (5 CFR 315.802(b).

Successful candidates will possess the following competencies (knowledge, skills, abilities and other characteristics):
  • Data Management
  • Database Administration
  • Reasoning
  • Research
  • Technology Application


Career Transition Assistance Programs: If you are eligible for career transition assistance, such as ICTAP or CTAP, you must meet the Education and Qualification requirements to be referred for consideration.

Shared Certificates: The Department of Energy shares lists of applicants among its internal Departmental Elements and organizations. You may be referred for consideration to other DOE Hiring Managers throughout the Department for more than one position based on this application. By applying to this announcement, you understand your application materials may be shared with multiple Hiring Mangers throughout DOE. If additional positions are filled from this announcement conditions of employment may differ. You will be notified if you are referred for additional positions.

You must meet all qualifications and eligibility requirements by the closing date (11/07/2024) of this announcement.

To preview the Assessment Questionnaire, click https://apply.usastaffing.gov/ViewQuestionnaire/12576965

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