nSenior Data Scientist

• Requires a bachelor’s degree and 12+ years of relevant experience, or Masters degree with 10+ years of experience. Additional years of experience may be considered in lieu of a degree. \n
• 6+ years of experience managing, integrating, or troubleshooting data flows between applications and/or systems. \n
• Strong understanding of how application data is generated, managed, transformed, transferred, and consumed across interconnected systems. \n
• Demonstrated experience analyzing complex technical problems and developing practical, data-driven solutions. \n
• Experience identifying analytical data requirements and determining appropriate data sources, structures, and processes to support those requirements. \n
• Experience with dataset management, data quality, data integration, and associated processes. \n
• Understanding of software development and CI/CD pipelines and how data processes integrate with application development and deployment environments. \n
• Understanding of how machine learning and artificial intelligence capabilities utilize, process, and derive value from data. \n, * Experience with ServiceNow, particularly ITSM and CMDB. \n
• Experience with Splunk or other enterprise data/logging platforms. \n
• Experience with Cameo or other systems engineering/model-based systems engineering (MBSE) tools. \n
• Experience developing reports, dashboards, data visualizations, or other analytical products for leadership and operational stakeholders. \n
• Experience with data engineering, ETL/ELT processes, APIs, data pipelines, or application-to-application data integration. \n
• Experience working with cloud, distributed, or enterprise-scale data environments. \n
• Experience supporting data analytics, machine learning, artificial intelligence, or other advanced data-driven capabilities. \n
• Experience documenting data architectures, data flows, interfaces, and system dependencies. \n

The Senior Data Scientist will work across applications and data environments to identify analytical data requirements, improve data quality and accessibility, develop analytical solutions, and enable the effective use of data for operational and mission needs. The role requires the ability to understand complex data flows and systems, identify issues and dependencies, and translate technical data challenges into actionable solutions for both technical teams and leadership. \n \n \nPrimary Responsibilities \n \n \n

• Design, develop, and implement methods and processes to collect, integrate, transform, manage, and analyze large and complex datasets from disparate sources. \n
• Develop and apply advanced statistical concepts, algorithms, queries, and automated processes to clean, model, integrate, and evaluate structured and unstructured data. \n
• Analyze complex data flows between applications and identify opportunities to improve data quality, integrity, accessibility, and usability. \n
• Identify analytical data requirements and develop solutions to support operational, business, and mission objectives. \n
• Evaluate data structures, sources, interfaces, and dependencies to identify gaps, inconsistencies, and opportunities for improvement. \n
• Collaborate with software engineers, data engineers, system administrators, analysts, and other technical stakeholders to integrate and leverage data across applications and environments. \n
• Support the development and integration of ML/AI capabilities by understanding data requirements, data preparation, and the use of data throughout the ML/AI lifecycle. \n
• Develop and maintain automated data processes and support data integration within CI/CD environments. \n
• Investigate complex data and system issues, determine root causes, and develop practical solutions. \n
• Communicate technical findings, data issues, risks, and recommended solutions clearly to technical teams and program leadership. \n
• Contribute to data standards, governance, documentation, and dataset management processes. \n, Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. \n \n If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. \n \n \nCommitment to Non-Discrimination \n \n All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.”, “hiringOrganization”: {“@type”: “Organization”, “name”: “Leidos”, “logo”: “https://jobs.military.com/attachments/employer/0/962/152/273.svg”}, “jobLocation”: {“address”: {“addressCountry”: “United States”, “streetAddress”: “Not specified”, “@type”: “PostalAddress”, “postalCode”: “20151”, “addressLocality”: “Chantilly”, “addressRegion”: “Virginia - VA”}, “@type”: “Place”}, “industry”: “Information”, “identifier”: {“@type”: “PropertyValue”, “name”: “Leidos”, “value”: “R-00192861”}, “baseSalary”: {“@type”: “MonetaryAmount”, “currency”: “USD”, “value”: {“minValue”: “131300”, “@type”: “QuantitativeValue”, “maxValue”: “237350”, “value”: “131300”, “unitText”