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Public Notice for Direct Hire (STEM) ...

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Public Notice for Direct Hire (STEM) - Data Scientist

Department Of Health And Human Services Cincinnati, OH (Onsite) Full-Time
Summary

The CDC utilizes Direct Hire Authority to fill vacancies in a variety of occupations. This vacancy is a REPOSITORY of applications. Applications may be periodically referred to hiring managers both during the open period and after the closing date. Because of the large number of applications anticipated, applicants' status will not be updated.

Applicant Expiration: Applications will expire 4 months after submission/resubmission. To remain eligible for consideration, reapplying is required.

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Overview

* Accepting applications
* Open & closing dates

10/29/2024 to 01/31/2025

* Salary

$72,553 - $186,854 per year

Salary listed is Rest of U.S. and will be adjusted to reflect location after selection.

* Pay scale & grade

GS 11 - 15

* Help

Locations

Few vacancies in the following locations:

* Anchorage, AK

* Los Angeles, CA

* San Diego, CA

* San Francisco, CA

* Show more locations (24)
* Denver, CO

* Fort Collins, CO

* Washington, DC

* Miami, FL

* Atlanta, GA

* Honolulu, HI

* Chicago, IL

* Boston, MA

* Hyattsville, MD

* Detroit, MI

* Minneapolis, MN

* Triangle, NC

* Newark, NJ

* New York, NY

* Cincinnati, OH

* Philadelphia, PA

* Pittsburgh, PA

* San Juan, PR

* Dallas, TX

* El Paso, TX

* Houston, TX

* Seattle, WA

* Spokane Valley, WA

* Morgantown, WV


* 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

Multiple Appointment Types

* Work schedule

Multiple Schedules

* Service

Competitive

* Promotion potential

00 - Contingent - Promotion potential will be based on the position to which appointed.

* Job family (Series)
* 1560 Data Science Series

* Supervisory status

No

* Security clearance

Not Required

* Drug test

No

* Position sensitivity and risk

Moderate Risk (MR)

* Trust determination process
* Suitability/Fitness
* Credentialing

* Financial disclosure

No

* Bargaining unit status

No

* Announcement number

HHS-CDC-DH
-25-12584835


* Control number

816399400

Help

This job is open to

* The public

U.S. Citizens, Nationals or those who owe allegiance to the U.S.

* Career transition (CTAP, ICTAP, RPL)

Federal employees who meet the definition of a "surplus" or "displaced" employee.

Clarification from the agency

Please read this Public Notice in its entirety prior to submitting your application for consideration. You are applying to a resume database. Your resume and any documents submitted will be retained and may be used at any time during or after the open period of this Public Notice. U.S. Citizenship is REQUIRED.

Help This job is also open in another announcement to:

* The public

* Career transition (CTAP, ICTAP, RPL)

Help This job is also open in another announcement to:

* The public

* Career transition (CTAP, ICTAP, RPL)

Videos

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Duties

The CDC utilizes Direct/Expedited Hire Authorities to fill vacancies in a variety of occupations. This vacancy is a REPOSITORY of applications. Duties and responsibilities vary and may increase according to the grade level of the position. Applications may be periodically referred to hiring managers both during the open period and after the closing date. Because of the large number of applications anticipated, applicants' status will not be updated.

This public notice will be used to fill the positions listed below at multiple grade levels and locations.

* Data Scientist: Grades GS-11 through GS-15

Duties may include but are not limited to:

* Performing assigned portions of professional or technical projects involving some or all duties such as: data science to establish objectives and approach; ability to isolate and define critical features of the problem.
* Reviewing, coordinating, and monitoring implementation of policies governing the program area.
* Incorporating and/or integrating health equity principles and practices in the development of IT infrastructures, algorithms, concepts, storage, retention, and surveillance programs.

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Requirements

Conditions of Employment

Due to the Centers for Disease Control and Prevention's (CDC's) process enhancement to use Shared Certificates throughout the Agency, some of the requirements below may differ:

* US Citizenship is required.
* Males born after December 31, 1959 must be registered or exempt from Selective Service ().
* May be subject to a Background/Security Investigation. Security clearance level may differ from the position announced when certificates are shared.
* CDC participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). If selected, CDC will determine your employment eligibility using your social security number.
* Direct deposit is required.
* One-year probationary period may be required.
* This position may be subject to a Collective Bargaining Agreement.
* This public notice may be used to fill supervisory or managerial positions and selectees may be subject to 1 year supervisory or managerial probationary period.
* Positions may be filled as permanent or term appointments.
* This position may be subject to the OGE Financial Disclosure requirements of the Ethics in Government Act of 1978 (P.L. 95-521). CDC inspires public confidence in its trust responsibilities and mission by maintaining high ethical principles. If selected, you may be required to complete a Confidential Financial Disclosure Report (OGE Form 450) to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency. If identified, this will be an annual requirement.
* In accordance with Executive Order 12564 of September 15, 1986, The Department of Health and Human Services (HHS) is A Drug-Free Federal Workplace. This position may require a Drug Test and be subject to Random Drug Testing. The position may require the submission of a urinalysis to screen for illegal drug use prior to appointment and be subject to reasonable suspicion and post-accident drug testing upon hiring. If required to submit to urinalysis, the appointment to the position will be contingent upon a negative test result.

Qualifications

Basic Qualifications:

* 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 above, plus additional education or appropriate experience.

Minimum Qualifications:

To qualify at the GS-11 grade level, you must have at least one year of specialized experience at or equivalent to the GS-09 grade level, which must include the following experience: applying and developing data adaptive algorithms, machine learning and other AI system; 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 have completed 3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree in a field which demonstrates the knowledge, skills, and abilities necessary to perform the work of the position.

OR have a combination of education and specialized experience that together meets 100% of the qualification requirement for this position.

To qualify at the GS-12 grade level, you must have at least one year of specialized experience at or equivalent to the GS-11 grade level, which must include the following experience: identifying data required for use in the management and direction of programs; developing data adaptive algorithms, machine learning and other AI system; 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.

To qualify at the GS-13 grade level, you must have at least one year of specialized experience at or equivalent to the GS-12 grade level, which must include the following experience: conducting research using public health data systems (i.e., survey data, health care facility data, syndromic surveillance data, electronic records, vital records, and non-traditional data sources); designing and developing data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; conducting analysis using software and/or programming languages; and using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation.

To qualify at the GS-14 grade level, you must have at least one year of specialized experience at or equivalent to the GS-13 grade level, which must include the following experience: designing and developing of data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; conducting analysis using software and/or programming languages; and identifying problematic issues and reporting discrepancies and providing appropriate recommendations to leadership.

To qualify at the GS-15 grade level, you must have at least one year of specialized experience at or equivalent to the GS-14 grade level, which must include the following experience: evaluating impacts of new policies and procedures to determine the effectiveness in meeting goals and objectives of a department or division; providing guidance for organizations information technology and negotiate on contracts providing information technology and services; planning, organizing, and presenting data science and data visualization techniques-based reports showcasing data-driven insights to organizational leadership and various program office; and guiding strategic planning for organizational structure, data management, information technology infrastructure, across an organization and with academic institutions and public health communities.

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; religious; 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.

Promotion potential: Promotion to the next grade level is at management's discretion and is based on your meeting qualifications and time-in-grade requirements, demonstrated ability to perform the higher-level duties, the continuing need for the higher-level duties, and administrative approval. Promotion to the next grade level is not guaranteed and no promise of promotion is implied.

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.

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. For more information, visit

Recommended Skills

  • Administration
  • Algorithms
  • Artificial Intelligence
  • Collective Bargaining
  • Credentialing
  • Data Analysis

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