About United States Department of Defense
Sourced by ZipRecruiter
Industry
Public administration
Company size
10,000+ Employees
Headquarters location
Washington, DC, US
Year founded
1949
$125.78K/yr
Other
Posted 21 days ago
U.S. Department Of Defense rating
7.7
Based on 517 frontline employees who took The Breakroom Quiz
25th of 46 rated military and defense
Job description
Reemployed annuitant: This vacancy does not meet the criteria for appointment of annuitants.Qualifications:All qualification and time-in-grade (if applicable) requirements must be met within 30 days of the closing date of this announcement.
You must meet the minimum qualification requirements as stated in the Office of Personnel Management (OPM) Operating Manual, Qualification Standards for General Schedule Positions, http://www.opm.gov/qualifications/Standards/group-stds/gs-prof.asp.
Basic Requirement:
Specialized experience is defined as: directing and conducting complex data science and data preparation activities on large structured, semi-structured, and unstructured datasets, including designing and optimizing data integration processes, transformations, and data structures that enable analytics, automation, and machine learning use cases; OR applying advanced quantitative, machine learning, or predictive techniques to develop innovative, data-driven solutions that improve operational analytics and support critical business and audit decisions; OR leading the full lifecycle of data-centric projects, from defining objectives and recommending data collection, integration, and retention requirements, to presenting findings and providing authoritative policy recommendations to senior leadership; OR providing input to and supporting enterprise data governance frameworks, including data classification, lineage, metadata cataloging, and integration with enterprise data and governance platforms, using languages such as SQL, Python, or R and modern data platform tools.
Volunteer Experience: 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 to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Substitution of Education for Specialized Experience: There is no substitution of education for experience at this grade level.Employment Type: OTHER
You must meet the minimum qualification requirements as stated in the Office of Personnel Management (OPM) Operating Manual, Qualification Standards for General Schedule Positions, http://www.opm.gov/qualifications/Standards/group-stds/gs-prof.asp.
Basic 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.
ORCombination 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.
Specialized experience is defined as: directing and conducting complex data science and data preparation activities on large structured, semi-structured, and unstructured datasets, including designing and optimizing data integration processes, transformations, and data structures that enable analytics, automation, and machine learning use cases; OR applying advanced quantitative, machine learning, or predictive techniques to develop innovative, data-driven solutions that improve operational analytics and support critical business and audit decisions; OR leading the full lifecycle of data-centric projects, from defining objectives and recommending data collection, integration, and retention requirements, to presenting findings and providing authoritative policy recommendations to senior leadership; OR providing input to and supporting enterprise data governance frameworks, including data classification, lineage, metadata cataloging, and integration with enterprise data and governance platforms, using languages such as SQL, Python, or R and modern data platform tools.
Volunteer Experience: 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 to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Substitution of Education for Specialized Experience: There is no substitution of education for experience at this grade level.Employment Type: OTHER
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
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Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.
