DATA SCIENTIST

Naval Facilities Engineering Systems Command (NAVFAC); Norfolk (VA); On-site; USD 85,000 - 120,000; Full time

Job summary

NAVAL FACILITIES ENGINEERING SYSTEMS COMMAND is seeking a Data Scientist in the Force Improvement Office in Norfolk, VA to transform data into actionable insights and support data-driven decisions across the organization.

You will apply mathematical, statistical, and data science standards to enterprise performance evaluation, build automated data pipelines, and develop advanced visualizations for leadership and stakeholders. Collaboration with cross-functional teams is essential.

Qualifications

• Degree in Mathematics, Statistics, Computer Science, Data Science or closely related field.

Responsibilities

• Extract, process, and transform structured and unstructured data into actionable information.
• Design automated data pipelines and queries from multiple enterprise sources.
• Create and present data visualizations to support NAVFAC decision-making across leadership and customer organizations.

Skills

Data analysis

Statistics

Data visualization

SQL/ETL

Machine learning basics

Communication

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science

Tools

Python

SQL

R

Big data tools

Job description

Summary

You will serve as a DATA SCIENTIST in the FORCE IMPROVEMENT OFFICE of NAVAL FACILITIES ENGINEERING SYSTEMS COMMAND.

Duties

You will perform work related to the extraction, processing, and transformation of structured and unstructured data into information that enables the organization to make accurate, data-driven decisions through advanced visualization techniquesYou will serve as the technical authority and consultant for the Force Improvement Office (FIO) community on the application of mathematical, statistical, and data science standards to enterprise performance evaluationYou will apply data engineering and big data principles to design automated database queries, extraction routines, and data pipelines from disparate enterprise sources.You will lead complex analytical investigations and exploratory data studies to support strategic decision-making across NAVFAC leadership and customer organizations.You will formulate innovative research designs to resolve ambiguous, ill-defined problems characterized by sparse or non-standard data.You will conduct continuous evaluation of evolving business, functional, and technical requirements across NAVFAC programs.You will assess emerging industry technologies and machine learning capabilities to continually modernize analytical toolsets, enhance predictive precision, and expand analytical capacity across FIO.

Qualifications

In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-13 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: 1) Using mathematical and statistical methodologies to develop processes utilized to analyze data; 2) Developing and implementing data driven analytical solutions; and 3) Preparing and presenting data visualizations for metrics and measures. 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/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.

Education

Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess either 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. or Combination 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.

Additional Information

This position is covered by the Department of Defense Priority Placement Program. Additional vacancies may be filled by this announcement. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. During the application process you will have the ability to opt-in to make your resume available to hiring managers in the agency who have similar positions in the local commuting area. Depending on the hiring organization and the position being filled, job requirements (e.g., security clearance, travel, drug testing, financial disclosure filing, bargaining unit status, etc.) may vary. Other hiring managers filling similar positions may offer relocation expense reimbursement and/or may offer recruitment incentives for new employees, depending on funding availability and in accordance with policy. If you opt-in and are referred on a certificate, your resume will be available to other hiring managers for 180-days from the date the job announcement closes. Opting in does not impact your application for this announcement, nor does it guarantee further consideration for additional positions. Federal annuitant information: The selection of an annuitant is subject to the Department of Defense and Department of the Navy policy on the employment of annuitants. Policy information may be found at: http://www.secnav.navy.mil/donhr/Documents/CivilianJobs/FedCivAnnuitants.pdf PPP applicants will be placed at the FPL, if determined Well Qualified (WQ). To receive priority consideration, the FPL must be the same grade level or equivalent of the retained grade or the grade held immediately prior to separation. In addition to meeting all minimum qualification and eligibility requirements, ICTAP applicants must be well qualified for the position to receive consideration for special priority selection. A well-qualified ICTAP applicant is one who possesses the competencies and experience to perform the duties of the position successfully with orientation to learn/understand the activities, procedures, policies and processes. Demonstrated work experience in the occupation is typically qualifying for placement. This criterion cannot be met by education and training. ICTAP candidates must provide copies of all of the following documentation at the time of application: 1) agency notice; 2) most recent performance appraisal and 3) most recent SF-50 or notification of personnel action that includes position, grade level, and duty location. Applicants who do not provide this documentation will not receive consideration as an ICTAP candidate. For more information about ICTAP eligibility please review the following link: https://www.usajobs.gov/Help/working-in-government/unique-hiring-paths/federal-employees/career-transition/ Military Spouse Preference applicants will be placed at the highest grade for which they have applied and are determined Best Qualified (BQ). A BQ military spouse possesses knowledge, skills, abilities, and competencies comparable to others who meet the competitive referral criteria for the specific position.

The Navy and Marine Corps team offers innovative, exciting and meaningful work linking military and civilian talents to achieve our mission and safeguard our freedoms. Department of the Navy provides competitive salaries, comprehensive benefits, and extensive professional development and training. From pipefitters to accountants, scientists to engineers, doctors to nurses-the careers and opportunities to make a difference are endless. Civilian careers-where purpose and patriotism unite!