Data Science Analyst

Clearance Level Top Secret/SCI Category Data Science and Data Engineering Locations Springfield, Virginia St. Louis, Missouri (Onsite Workplace) Key Skills For Success Data Management Metadata Standards Visualization REQ#: RQ225970 Public Trust: None Requisition Type: Regular Your Impact Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats. Job Description We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis. This position focuses on metadata maintenance activities for the integration of metadata between systems and the associated API to enable discovery of data across the Enterprise and the Intelligence Community. Duties: Work closely with the Lead Data Engineer to build and maintain the MAP, assess metadata quality, plan and coordinate metadata enhancement and remediation. Determine/monitor MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, Postgres and Elasticsearch database applications. Support Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics and standards needed to integrate into the Search and Discovery System. Maintain an ongoing working relationship with government data stewards and system Data Store owners to inform end-user satisfaction and to keep abreast of attribute changes. Investigate and respond to tickets/issues associated with metadata discrepancies or mapping. Required: At least 5 years of experience with data management, transformation, visualization, analysis, metadata standards, and organization techniques and tools. At least 5 years of experience with search tools, search results organization and the implications of metadata organization, indexing and catalog content. Bachelor’s degree in systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Business, Management Information Systems, or related STEM degree program, or an additional 4 years of related data/systems engineering experience. MS Degree and 10+ years of relevant experience Excellent communication, analytical, problem solving, and organizational skills with the ability to present information and ideas clearly and concisely. Strong technical skills, interest in technology, and the ability to troubleshoot simple technology problems, failures, or deficiencies. Excellent skills with Microsoft office tools (Excel, PowerPoint, Notepad++) Certifications: Security +, Network+, or A+ are preferred. Ability to obtain one of these certifications within 6 months of start date if not currently in hand. Clearance Required: Active TS/SCI clearance with CI Poly Desired: At least 5 years of experience with customer imagery and data repositories, products, data types, and uses. Knowledge and at least 5 years of experience with GIS-related applications and tools. Comfortable with: Postgres and Elasticsearch (build queries, analyze results) GitLab (review code, recommend data remediation changes) Openshift Container Platform (OCP) (approve merge requests) Working in an Agile Software Development environment Location: Company Site US Citizenship Required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. Work Requirements Years of Experience 5 + years of related experience may vary based on technical training, certification(s), or degree Certification CompTIA Security+ CE | CompTIA - CompTIA Travel Required None Citizenship U.S. Citizenship Required Salary and Benefit Information The likely salary range for this position is $133,450 - $180,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Our Identity Verification Process As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans