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Data Scientist

Department of Health and Human Services
National Institutes of Health
Office of Research Facilities
This job announcement has closed

Summary

This position is part of the Data Science and Artificial Intelligence Branch (DSAIAB). DASAIAB collects over 350 million daily data points and performs approximately one million advanced calculations per day to assist in decision making for the Division of Technical Resources (DTR). Join a team of Data Scientists and Engineers providing data management for the NIH Central Utility Plant (CUP), the Cogeneration plant (COGEN), and the Central Utility Distribution System.

Overview

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Hiring complete
Open & closing dates
04/27/2024 to 05/06/2024
Salary
$117,962 to - $153,354 per year
Pay scale & grade
GS 13
Location
1 vacancy in the following location:
Montgomery County, MD
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
Other
Drug test
No
Position sensitivity and risk
Non-sensitive (NS)/Low Risk
Trust determination process
Announcement number
NIH-ORF-DH-24-12397906
Control number
788679300

This job is open to

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Clarification from the agency

You must be a U.S. Citizen or U.S. National. Foreign nationals or legal permanent residents are not eligible for consideration.

Duties

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As a Data Scientist in DTR, you will:

  • Apply advanced knowledge of the concepts, methods, and techniques of the specialized field of data science to provide technical expertise on data quality functions and activities in support of the design, construction, commissioning, and operations of NIH facilities.
  • Lead the technical efforts of data collection and analysis with assistance from other data scientists and report and recommend findings and solutions to the head of the Data Science and Artificial Intelligence Application Branch.
  • Serve as an advisor to the DTR and ORF on all aspects of data quality for NIH aseptic facilities.
  • Coordinate the technical, day-to-day processes for data protection by developing strategies for permissions management, data classification, identity and access management, threat detection, and security analytics.
  • Lead or participate on teams of subject matter experts and staff members involved in addressing specific data quality issues and activities.
  • Employ Python and Azure technology to enhance real-time data collection and processing for NIH's climate control systems. Utilize Azure Event Hubs, Data Lake Storage, and Databricks to ensure efficient data flow and storage, automate data cleaning, and enable scalable machine learning operations. Implement Azure DevOps and Infrastructure as Code for continuous system improvement and robust data governance.
  • Develop and deploy advanced statistical models and machine learning algorithms using Python and Azure Machine Learning. Utilize deep learning and ensemble architectures for predictive analytics and employ Azure Synapse Analytics for integrated data exploration. Innovate continually with new analytical techniques, including ensemble methods and natural language processing, to enhance prediction accuracy and operational strategies.
  • Leverage Python and Azure tools like Power BI, Tableau and Azure Grafana for creating dynamic, interactive visualizations. Interpret complex model outputs to guide strategic decision-making, focusing on energy efficiency and operational improvements. Ensure effective communication of data-driven insights across the organization using Azure DevOps and Communication Services for collaborative and strategic presentations.
  • Foster a collaborative environment through workshops, sharing insights on the latest data science techniques, and aligning projects with organizational goals using Azure DevOps. Engage with stakeholders to integrate practical insights into model development, ensuring analytical solutions are operationally relevant and technically robust.

Requirements

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Conditions of employment

  • U.S. Citizenship requirement or proof of being a U.S. National must be met by closing date.
  • Employment is subject to the successful completion of a background investigation, verification of qualifications, completion of onboarding forms, submission of required documents, and any other job-related requirement before or after appointment.
  • Applicants must meet all qualification requirements by the closing date of this announcement.
  • Males born after December 31, 1959 must be registered with the Selective Service.
  • This position is an Emergency Essential position. Please see Additional Information Section.
  • Position requires education, transcripts required.

Qualifications

Basic Qualifications for a GS-1560 position:
In order to qualify for a Data Scientist GS-1560 position, you must:
A. Possess a Bachelor's degree, or graduate/higher level degree with a major study in mathematics, statistics, computer science, data science, or a field that is directly related to the position.
OR
B. Possess a combination of education (at least 30 semester hours) and additional appropriate/related experience that is the equivalent to a major in mathematics, statistics, computer science, data science or a field directly related to the position

Additional Requirements for a GS-1560-13 position:
In addition, in order to qualify for a Data Scientist, GS-1560 position at the GS-13 level, you must have 1 year of specialized experience equivalent to the GS-12 level obtained in either the private or public sector that included the following tasks: managing structured and unstructured data sets using data analytical tools such as Python, SQL, and Azure Databricks; creating and implementing data collection and analysis tools while utilizing programming languages and environments (e.g., R, Python, SQL, Scala, Java, C/C++, Julia); using machine learning to build predictive algorithms; creating data visualizations using box plots, density plots, histograms, scatter plots, etc. to assist in recommendations for operations; collaborating with senior data scientists and organizational staff to identify and resolve data quality issues.

You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay.

Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.

Preview assessment questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12397906

Education

This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Click here for information on Foreign Education.

Additional information

  • This position is designated as an "emergency essential" position and the selected candidate will be considered an "emergency essential" employee and will be required to be available, ready, willing, and able to report for duty under all circumstances (e.g., inclement weather, government closings and holidays, lapses in appropriations, non-emergency and emergency situations) for operation 24 hours a day and 365 days per year coverage.
  • A one-year probationary period may be required upon selection/placement.
  • At the supervisor's discretion, this position may offer work schedule flexibilities: Alternate Work Schedules.
  • PHS Commissioned Officers interested in performing the duties of this position within the Commissioned Corps should also apply online to this announcement in order to receive consideration.
  • NIH may repay certain outstanding Federally insured student loans to facilitate the recruitment and retention of highly qualified people. Recipients will be determined on a case-by-case basis based on organizational need, specific case justification, and budget limitations.
  • A newly appointed or reappointed employee may receive service credit for prior work experience or active duty uniformed service that otherwise would not be creditable for the purpose of determining his or her annual leave accrual rate. All creditable service must be directly related to the duties of the position being filled and decisions to allow for such credit must be finalized prior to the selectee's entrance on duty. Recipients will be determined on a case-by-case basis based on organizational need, specific case justification, and budget limitations.
  • A newly appointed or reappointed individual may receive a recruitment incentive. Recipients will be determined on a case-by-case basis based on organizational need, specific case justification, and budget limitations.
  • A current federal government employee may receive a relocation incentive if moving from a different geographic location. Recipients will be determined on a case-by-case basis based on organizational need, specific case justification, and budget limitations.
  • The National Institutes of Health participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine employment eligibility of new hires and the validity of their Social Security numbers.
  • The NIH maintains a tobacco free work environment and campus.
  • Must be able to perform the essential duties of the position, with or without reasonable accommodation.
  • Visit our Applicant FAQs page for helpful information on the application process.
  • Visit our Total Compensation page and this sample for a detailed look into the benefits, awards, leave, retirement, and other incentives employees may receive as part of a rewarding work environment.

How you will be evaluated

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

Additional selections may be made for similar positions across the Department of Health and Human Services (HHS) within the local commuting area(s) of the location identified in this announcement. By applying, you agree to have your application shared with interested selecting official(s) at HHS. Clearance of CTAP/ICTAP will be applied for similar positions across HHS.

The position(s) advertised in this announcement are covered by a direct hire authority. Traditional rating and ranking of applicants, including category rating, does not apply to this vacancy. You will be initially evaluated against the basic qualifications only. Qualified applicants will be referred for consideration in accordance with the Office of Personnel Management direct hire guidelines. Veterans' Preference does not apply to positions covered by a direct hire authority.

To determine your qualifications and referral status, we may review your resume and supporting documentation and compare it against your responses to the vacancy questionnaire. Ensure you support your self-ratings by the information you provide in your application. We may verify or assess your qualifications at any time. Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as having knowledge of your past accomplishments or experience in your application may be contacted for verification purposes at any time. Verification may, but need not, begin prior to receiving an offer.

To be considered well qualified for the purposes of the Career Transition Assistance Program (CTAP) and the Interagency Career Transition Assistance Program (ICTAP), you must be able to satisfactorily perform the duties of the position upon entry and substantively exceed the basic qualifications and meet all eligibility, physical, medical, suitability, and all other requirements.

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