NAVSEA Data Scientist (Ship Readiness)

Key Skills

AI technology, clickHouse, Data Mining, Data science techniques, Dimensional Modelling, Java Programming, Machine learning techniques, Mathematics, MATLAB Programming, Microsoft Office suites, Microsoft-Excel, Powerpoint, Python Programming, R Programming, SPSS Statistics, Statistical modeling, Statistics, Tableau, Text Processing

Job Description

Are you looking for an opportunity to contribute to the Navy’s surface ship readiness? At Serco, we are looking for the brightest most innovative candidates who are driven with an appetite for wrestling complex problems. The ideal candidate for this position will have a strong background in framing and conducting empirical and qualitative assessments of large chaotic enterprises to include framing relevant metrics, formulating data collection schemas from diverse sources, evaluating and improving data quality, analyzing data using traditional statistical, advanced Artificial Intelligence, and Machine Learning techniques; modeling operational systems, and communicating results to C-level managers and leaders.

The Data Scientist will work alongside government personnel primarily consulting, facilitating, and performing metric development, dashboard framework development, data management schemas, analysis, and recommending areas for productivity improvement. The Data Analyst will routinely produce statistical analysis products and strategic plans for data management and improvement. The Data Analyst will learn various government data systems and operational constructs as much as consult.

In this role, you will:

• Review and advise on current data analytics projects within the Navy Sea Systems Command (NAVSEA).
• Prepare briefs for Senior Leadership on the utilization and applicability of data science tools for generating business value for the Navy maintenance and modernization community.
• Research and advise Senior Leadership on industry and academic advances in Data Science and Advanced Analytics.
• Develop and code analytic algorithms that evaluate large datasets from multiple disparate sources using R, MATLAB, Excel, and similar for data/text mining, analysis, modeling, and prediction toward enabling informed business decisions.
• Develop working relationships with stakeholders throughout the organization to identify opportunities for leveraging corporate data to drive business solutions.
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
• Devise and implement new ways to improve data and search quality, and predictive capabilities.
• Apply expertise in data interpretation and synthesis, which requires both tools and methods from statistics and machine learning.
• Coordinate with different functional teams to ensure modeling and analysis is aligned with business processes and objectives

Qualifications

To be successful in this role, you will have:

• An Active DoD Issued Secret Clearance at time of application
• Bachelor’s Degree in an applied mathematical discipline such as physics, engineering, computer science, or similar and 5 to 7 years of relevant experience is required.
• Advanced understanding and skills in applied statistics (Data Scientist, Master Black Belt, Black Belt, etc.)
• Experience managing technical projects and programs.
• Experience supporting senior leaders and collaborating across large enterprises.
• Excellent communication (i.e., oral, writing, presentation) skills for briefing Flag/SES leaders; specifically presentation skills.
• Experience using at least one statistical analytic package (Minitab, SPSS, etc.) and must be, or become within six months, proficient with using R or MATLAB.

Additional Desired experience and skills:

• Experience in a Naval service (Navy, Marine Corps, Coast Guard)
• Experience with Depot-level Overhaul, Maintenance and Modernization activities.
• Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.).
• Produces written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials.
• Experience with Tableau, Clik, or similar
• Algorithm writing experience with Python and similar AI / ML languages desired.