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Job opening: Data Scientist

Salary: $110 000 - 121 000 per year
Relocation: YES
City: San Diego
Published at: May 03 2024
Employment Type: Full-time
This position is assigned to Program Integration (N9D); Fleet and Family Readiness (FFR); Commander, Navy Installations Command (CNIC); Washington Navy Yard, District of Columbia. The incumbent serves as a Data Scientist for the FFR Integration Office and provides data analytics expertise for the Navy's FFR Integration Office to ensure high data quality and data integrity of data elements used in developing dashboards.

Duties

In order to qualify for this position, resumes must provide sufficient experience and/or education, knowledge, skills, and ability to perform the duties of the position. Applicant resumes are the key means for evaluating skills, knowledge, and abilities as they relate to this position therefore, applicants are encouraged to be clear and specific when describing experience. Research & Data Analysis duties include but are not limited to: Develops information capability architecture, solves complex and difficult technical problems, and adapts to rapidly changing requests for analysis. Conducts quantitative analyses of data utilizing dynamic models and techniques associated with multivariate statistics, and matrix analysis. Serves as the data scientist on multidisciplinary teams and is assigned a major segment of the overall analysis for highly complex programs. Applies broad range of data analysis, mathematics, statistical analysis, modeling, simulation, or other scientific concepts, principles, and standards, methods, practices, and procedures to achieve outcomes. Applies expert knowledge of data science tools, including scripted languages (such as R, Python, SQL, and JavaScript), analytics platforms, and open source/commercial off the-shelf solutions. Applies expert knowledge of data visualization tools (such as Qlik or Tableau). Assists team members engaged in studying FFR programs under the purview of CNIC Headquarters (HQ). Works with large and complex data sets to perform extensive analysis of volumes of data. Designs and coordinates surveys for various programs and monitors their progress. Designs and delivers frameworks to facilitate data development. Initiates data collection, research, and trend identification, and preparing summaries and reports to illustrate program statistics and findings. Uses various data integration services and data visualization tools to accurately represent data. Recognizes and modifies problems in research methodology. Compiles and analyzes numerical information. Initiates and completes action to improve the quality of data collection, as it relates to program execution, performance, and outcomes. Initiates assessments of FFR programs and overall performance that may be required to utilize innovative techniques by applying methods developed for other purposes. Uses technical expertise with automated data collection and reporting systems to accomplish work. Uses familiarity with procedural standards and regulations specific to Navy research instructions and processes for various areas of research. Provides technical guidance to direct the efforts of personnel who assist in data collection and analysis. Applies probability theory, linear programming, and other operations research techniques to the prediction of reliability degradation and the mathematical simulation of performance. Conducts analysis of alternative ways to improve operations.

Requirements

  • Participation in Direct Deposit/Electronic Fund Transfer within the first 30 days of employment is required.
  • Must successfully pass the E-Verify employment verification check. Any discrepancies must be resolved as a condition of employment.
  • Must have or be able to obtain and maintain a SECRET clearance.

Qualifications

Resumes must include information which demonstrates experience and knowledge, skills, and ability (KSAs) as they relate to this position. Applicants are encouraged to be clear and specific when describing their experience level and KSAs. Four years of specialized experience performing statistical analysis work to include collecting, computing, and analyzing statistical data, and applying statistical techniques. Knowledge of qualitative and quantitative techniques for measuring effectiveness, efficiency, and productivity of assigned programs and operations. Knowledge of laws, Department of Defense (DoD) instructions, directives, policies and procedures pertaining to FFR. Knowledge of data science tools, including scripted languages (such as R, Python, SQL, and JavaScript), analytics platforms, and open source/commercial off the-shelf solutions. Knowledge of data visualization tools (such as Qlik or Tableau). Knowledge of military lifestyle and military community support programs. Knowledge of military systems, communities, and resources available to members, civilians, family members and contractors. Knowledge of terms of use and privacy transfer agreements and data exchange concepts. Skill in applying analytical and evaluative methods and techniques in the development of new procedures and approaches to identify and resolve significant issues and problems of a unique nature. Ability to examine large data sets to identify data elements for use in key metrics and KPIs. Ability to articulate data requirements to data engineers. Ability to summarize statistical findings in presentation format for high-level briefings. Ability to build dashboards in collaboration with Program Managers and contractors. Ability to understand and use the fundamental concepts and techniques of operations research methods of analysis. Ability to demonstrate the use of organizational skills with particular emphasis on attention to detail, ability to negotiate, and ability to work under time pressure without compromising quality of analysis. Ability to function autonomously with diverse personnel, agencies, and administrators. Ability to analyze and prepare clear, concise, and technically sound reports related to work within the Branch. Ability to communicate effective both orally and in writing.

Education

A qualified candidate possesses one of the following:

A bachelor's degree in 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
A 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.

Note: A copy of your college transcripts (showing degree awarded/conferred) MUST be submitted when applying. If qualifying based on a combination of education and experience, you must submit a copy of your college transcripts.

Contacts

  • Address CNIC HQ 5720 Integrity Drive, Bldg. 457 Millington, TN 38055 US
  • Name: CNIC NAF HRO
  • Email: [email protected]