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.

Duties

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

• 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.

Contacts

• Address National Institutes of Health 6701 Rockledge Drive Bethesda, MD 20892 US
• Name: Jazzlin Mouton
• Phone: 301-827-6543
• Email: [email protected]