Data Scientist

Data Scientist

Full-Time 54000 - 66000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Transform data into insights and drive decisions with advanced analytics.
  • Company: Join the Naval Facilities Engineering Systems Command, a leader in data-driven solutions.
  • Benefits: Enjoy a comprehensive benefits package and opportunities for career growth.
  • Other info: Dynamic work environment with a focus on innovation and continuous learning.
  • Why this job: Make a real impact by solving complex problems with data science.
  • Qualifications: Experience in data analysis, statistical methods, and visualisation techniques required.

The predicted salary is between 54000 - 66000 Β£ per year.

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 techniques.
  • You 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 evaluation.
  • You 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.

Requirements:

  • Must be a US Citizen.
  • Must be determined suitable for federal employment.
  • Must participate in the direct deposit pay program.
  • New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check.
  • Generally, current federal employees applying for GS jobs must serve at least one year at the next lower grade level.
  • Time-in-grade requirements must be met by the closing date of this announcement.
  • Males born after 12-31-59 must be registered for Selective Service.
  • You will be required to complete training, obtain, and maintain a government credit card for travel and travel-related purchases.
  • You will be required to obtain and maintain an interim and/or final security clearance prior to entrance on duty.
  • This is a Cyberspace Workforce position, work role code 423 Data Scientist, proficiency level Advanced.
  • The incumbent is required to obtain and maintain qualifications in DoDM 8140.03 Cyber Workforce Qualification and Department of Navy policies.

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:

  • Using mathematical and statistical methodologies to develop processes utilized to analyze data;
  • Developing and implementing data driven analytical solutions;
  • Preparing and presenting data visualizations for metrics and measures.

Education:

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

  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position.
  • 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.
  • 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.
  • 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.
  • Military Spouse Preference applicants will be placed at the highest grade for which they have applied and are determined Best Qualified (BQ).

A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding.

Data Scientist employer: Naval Facilities Engineering Systems Command

Joining the Naval Facilities Engineering Systems Command as a Data Scientist offers you the chance to work in a dynamic environment where your expertise will directly influence strategic decision-making. With a strong commitment to employee growth, you will have access to continuous training and development opportunities, alongside a comprehensive benefits package that supports both your professional and personal life. The collaborative work culture fosters innovation and encourages you to apply cutting-edge data science techniques to real-world challenges, making your role not just a job, but a meaningful contribution to national service.

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Contact Details:

Naval Facilities Engineering Systems Command Recruitment Team

We think you need these skills to ace Data Scientist

Data Extraction
Data Processing
Data Transformation
Advanced Visualisation Techniques
Mathematical Methodologies
Statistical Methodologies
Data Engineering