DATA SCIENTIST

Full Job Description

You will serve as a DATA SCIENTIST in the DIGITAL TRANSFORMATION DIV within the UNDERSEA SYSTEM & SUSTAINMENT ENGINEERING DEPT of NAVUNSEAWARCENDIV KEYPORT WA.

In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-11) or pay band in the federal service or equivalent experience in the private or public sector as a professional scientist analyzing large datasets for the development of machine learning algorithms and predictive models for a program or system.

Examples of qualifying experience include applying experience in experience in data analysis, data collection, data preparation, and data visualization tools; applying knowledge in Statistics, Machine Learning algorithms, Python programming language, and Business Analytics; or applying knowledge in software development, and Scrum Agile methodologies.

Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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. Major Duties:

• You will utilize advanced techniques to analyze datasets to extract meaningful insights, develop predictive models, and inform strategic decision-making.
• You will apply experience in statistical analysis, machine learning, programming, and data visualization.
• You will use statistical and computational methods to explore and draw insights from data.
• You will develop, train, and evaluate machine learning models to make predictions or uncover patterns.
• You will gather and preprocess data from multiple sources to ensure it is suitable for analysis.
• You will summarize findings in written reports and presentations to effectively communicate results.