COMPUTER SCIENTIST

Naval Air Systems Command • Patuxent River, MD • 6d ago

Summary This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer. Responsibilities You will develop and lead technical products using advanced mathematical, statistical, or analytical techniques with Python, R, or SQL, to include the research, design, development, deployment, and enhancement of enterprise-wide analytics solutions You will design, build, integrate, and manage the architecture or framework used in various data science projects to maintain flow of data between servers and applications. You will serve as a subject matter expert for data analytics as it pertains to both predictive and prescriptive analysis and ensure alignment with Fleet and Readiness Analytics Division initiatives. You will develop and lead technical products using advanced programming techniques with JavaScript, Python, or frameworks like React, Angular, or AWS to research, design, develop, deploy, and enhance enterprise-wide web solutions. You will design, build, integrate, and manage the architecture or framework used in various web development projects to ensure seamless interaction between front-end and back-end systems. You will serve as a subject matter expert for web application development as it pertains to both user experience (UX) and performance optimization, ensuring alignment with organizational goals and initiatives. Requirements Conditions of Employment Qualifications Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-11 grade level or DP-03 pay band in the Federal service or equivalent experience in the private or public sector. Applicants must have specialized experience in either data engineering, web application development, or both, as demonstrated by the following qualifications: Data Engineer: Experience in data engineering using Python, SQL, and/or Spark for data processing and transformation Experience building and integrating with data pipelines and ETL processes to support backend data services Familiarity with modern data engineering best practices, including data modeling, performance optimization, and scalable architecture design Strong experience with SQL and working with structured and semi-structured data in relational and NoSQL databases Exposure to cloud environments (i.e. AWS, Azure) and their data services (i.e. Amazon SageMaker, AWS Lambda, Amazon S3, Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Table Storage) Analyzing large datasets to solve complex data problems and providing actionable insights to support frequent requests from senior leadership Web Application Developer: Experience in web development using JavaScript/TypeScript, and/or REACT Experience building and integrating with REST APIs and backend services Familiarity with modern front-end best practices, performance optimization, and responsive design Strong experience with SQL and working with structured data Exposure to cloud environments (e.g., AWS, Azure) Analyzing data to solve complex problems and run frequent excursion requests from senior leadership 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/computer-science-series-1550/ 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 Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. Additional Information Certain incentives (such as Recruitment, Relocation or Student Loan Repayment) may be authorized to eligible selectees. This position is covered by the Department of Defense Priority Placement Program. Several vacancies may be filled. 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. 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. Veteran's preference does not apply when selecting individuals under this specific hiring authority. However, if you claim veteran's preference, you will be required to submit supporting documentation with your application as described in the Required Documents section below.

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