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Data Scientist

Employer
USAJobs
Location
Wallops Island, Virginia
Closing date
Oct 6, 2022

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Duties

This series covers positions managing, supervising, leading, and/or performing administrative and management work.
  • Vacancies filled under this public notice may have varying levels of promotion potential and supervisory level, if any.
  • Positions may be filled as permanent, term, or temporary with a full-time or part-time work schedule.

As a Data Scientist you may:
  • Develops and oversees computational algorithms and statistical methods that find patterns and relationships in large volumes of data sourced from advanced hardware and software.
  • Designs and oversees data modeling processes, create algorithms and predictive models to extract data.
  • Develops acquisition data analytics budget to implement strategy, advocates and explains budget goals to DOE, interagency, OMB, and Legislative Branch officials.
  • Research and development of project management for statistical data analytics to evaluate, design and develop analytical procedures and processes.
  • Computational algorithms and statistical methods that find patterns and relationships in large volumes of data sourced from advanced hardware and software.
  • Presents results to the scientific community at professional meetings and conferences.


Requirements

Conditions of Employment

  • Must be a U.S. Citizen or National.
  • This employer participates in the e-Verify program.
  • Males born after 12/31/1959 must be registered for Selective Service.
  • Subject to satisfactory security and suitability requirements.
  • May be required to successfully complete a probationary period.
  • Positions may be filled as permanent, term, or temporary with a full-time or part-time work schedule. Pay will vary by geographic location.
  • The vacancies filled through these appointments have varying levels of background investigative requirements, up to a Top Secret DOE "Q" clearance.
  • These positions are to be filled under the Infrastructure Investment and Jobs Act (IIJA - P.L. 117-58).


Qualifications

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-07 : You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-05 grade level in the Federal Service. Specialized experience for this position includes:
  • Participating in analyzing data modeling concepts; AND
  • Reviewing data for trends from multiple systems.

OR EDUCATION: One full year of graduate level education.

OR Superior Academic Achievement: Based on a bachelor's degree that is demonstrated through class standing (upper 1/3 of class); grade point average (3.0/4.0 overall or 3.5/4.0 in major), or election to membership in a qualifying national scholastic honor society.

OR COMBINATION: You may qualify on a combination of education and experience, the total percentage of experience at the required grade level compared to the specialized experience requirement, as well as the percentage of completed education compared to the educational requirement must equal at least 100 percent.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-09 : You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-07 grade level in the Federal Service. Specialized experience for this position includes:
  • Analyzing and interpreting data modeling, algorithms, and coding data requirements.; AND
  • Reviewing, analyzing, and providing information from multiple systems to prepare data reports.

OR EDUCATION: Master's or equivalent graduate degree or two (2) full years of progressively higher-level graduate education leading to such a degree. TRANSCRIPTS REQUIRED.

OR COMBINATION: You may qualify on a combination of education and experience. The total percentage of experience at the required grade level compared to the requirement, must equal at least 100 percent. Only graduate level education more than the first 18 semester hours (27 quarter hours) may be combined to be considered for qualifying education. TRANSCRIPTS REQUIRED.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-11: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes:
  • Applying and developing data adaptive algorithms, machine learning and other AL systems; AND
  • Reviewing, analyzing, and providing information from multiple systems to prepare data reports; AND
  • Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation.

OR EDUCATION: Ph.D. or equivalent doctoral degree or three (3) full years of progressively higher-level graduate education leading to such a degree. TRANSCRIPTS REQUIRED.

OR COMBINATION: You may qualify on a combination of education and experience. The total percentage of experience at the required grade level compared to the requirement, must equal at least 100 percent. Only graduate level education more than the first 36 semester hours (54 quarter hours) may be combined to be considered for qualifying education. TRANSCRIPTS REQUIRED.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-12: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal Service. Specialized experience for this position includes:
  • Applying and developing data adaptive algorithms, machine learning and other AL systems; AND
  • Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation, AND
  • Applying statistical analyses to determine the fitness-for-use of new or combined data sources, machine learning outputs, and data science methods.

NOTE: There is no substitution of education for specialized experience at the GS-12 level.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-13: You must have one 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 includes:
  • Designing and developing data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; AND
  • Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes; AND
  • Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation

NOTE: There is no substitution of education for specialized experience at the GS-13 level.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-14: You must have one 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:
  • Designing and developing of data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; AND
  • Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes; AND
  • Identifying problematic issues and reporting discrepancies and providing appropriate recommendations to leadership.

NOTE: There is no substitution of education for specialized experience at the GS-14 level.

SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in the Federal Service. Specialized experience for this position includes:
  • Evaluating impacts of new policies and procedures to determine the effectiveness in meeting goals and objectives of a department or division; AND
  • Leading or supervising a team of data analysts that research, design, and development data science techniques (such as machine learning, natural language processing, robotics process automation, and artificial intelligence); AND
  • Planning, organizing, and presenting data science and data visualization techniques-based reports showcasing data-driven insights to organizational leadership and various program offices.

NOTE: There is no substitution of education for specialized experience at the GS-15 level.

"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.

OPM Qualification Standards for the GS-1560 series can be found at the following website: Data Science Series, 1560, OPM

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

This public notice may be used to fill multiple positions as needed; therefore, applicants must meet the qualifications at the time the applications are reviewed.

Education

All grades for the 1560 series have a positive education requirement that must be met.

Basic Education 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.
  • 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.

    Transcripts must be provided.

    Additional information

    The U.S. Department of Energy fosters a diverse and inclusive workplace and is an Equal Opportunity Employer.
    • Your position may be eligible for workplace flexibilities which may include remote work or telework options, and/or flexible work scheduling. These flexibilities may be requested in accordance with the DOE Workplace Flexibilities policy.
    • This job opportunity announcement may be used to fill additional similar vacancies across DOE.
    • For general information on government-wide Telework polices visit: www.telework.gov
    • Status and Non-Status applicants from outside DOE selected under this authority are required to serve a mandatory one (1) year probationary period. A DOE career status employee selected for this position may be required to serve a new one (1) year probationary period, pursuant to 5 CFR 315.802.
    • If you believe that you are eligible for the Interagency Career Transition Assistance Program (ICTAP), please visit the OPM ICTAP/CTAP website for more information. In order to be considered under the ICTAP program, your application must score within the pre-established "well qualified" category as stated in the Qualifications section.
    • This public notice is to gather applications that may or may not result in a referral or selection.
    • More than one selection may be made under this hiring authority.
    • Some positions may require completion of a probationary period of up to 1 (one) year.
    • Many positions require successful completion of a background investigation.
    • Positions may be filled at varying levels of leadership, ie Team Lead, Manager, Supervisor.
    • Supervisory positions may require a 1-year probationary period, if not yet completed.
    • New employees to the Department of Energy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit www.dhs.gov/E-Verify
    • Veterans and persons with disabilities are encouraged to apply. For more information, please visit the links at the bottom of this page or visit the FedsHireVets website.
    • All males born after December 31st 1959 must abide by laws regarding Selective Service registration. To learn more about this law, visit the Selective Service web page, Who Must Register . If you are not registered and don't have an approved exemption, you will not be eligible for employment with the Federal government.
    • Relocation or Recruitment Incentive may be authorized.
    • This position may be 100% remote.
    • EEO Policy: https://help.usajobs.gov/index.php/EEO_Policy_Statement
    • Reasonable Accommodation Policy: https://help.usajobs.gov/index.php/Reasonable_Accommodation_Policy_Statement
    • Veterans Information: https://help.usajobs.gov/index.php/Veterans_Information
    • Selective Service Registration: http://www.sss.gov/


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