{"schemaVersion":"jobsearcher.job.v1","id":"4ce4a00deb67d4eae9e5c558","url":"https://jobsearcher.com/jobs/4ce4a00deb67d4eae9e5c558","canonicalUrl":"https://jobsearcher.com/jobs/4ce4a00deb67d4eae9e5c558","title":"Data Scientist","description":"About the Role:\n\nWe are looking for a highly capable Data Scientist to join our Enterprise AI & Analytics organization. Reporting directly to the Head of AI & Analytics, you will take ownership of individual data science projects from start to finish, while also serving as a key technical contributor to our company-wide AI modernization efforts.\n\nIn this role, you will independently manage analytics deliverables, build predictive and generative AI prototypes, and help turn high-level AI strategy into deployed, practical solutions for the business.\n\nWhat You’ll Do:\n\nIndependent Project Execution: Scope, manage, and deliver data science and analytics projects with a high degree of autonomy. Handle everything from data wrangling and exploratory analysis to model building and interactive dashboarding (e.g., Streamlit, Power BI).\nAI Modernization Support: Assist leadership in executing the corporate AI roadmap. Evaluate new AI tools, test agentic workflows, and help integrate LLM capabilities into existing enterprise processes.\nTechnical Prototyping: Build and deploy applied AI and machine learning solutions using modern cloud infrastructure and APIs to automate workflows and enhance business intelligence.\nPromote Responsible AI: Operationalize data governance and AI safety standards set by leadership (such as aligning with the NIST AI Risk Management Framework), ensuring all technical deliverables are secure, reproducible, and well-documented.\nCross-Functional Delivery: Track project timelines, communicate technical roadblocks, and present analytical findings clearly to both engineering peers and non-technical stakeholders.\n\nWhat We’re Looking For (Must-Haves):\n\nExperience: 3–6 years of hands-on experience in data science, analytics, or applied machine learning, with a proven ability to manage project lifecycles independently.\nEducation: Bachelor’s or Master’s degree in Mathematics, Statistics, Data Science, Computer Science, or a related quantitative field.\nTechnical Fluency: Strong proficiency in Python and SQL. Experience with standard data science libraries, version control (Git), and data visualization.\nExecution Focus: A builder’s mindset. You are comfortable taking a strategic objective from leadership and figuring out the technical steps required to make it a reality.\nCommunication: Excellent ability to document methodologies and present complex data clearly to business audiences.\n\nNice to Have:\n\nCloud Ecosystem: Hands-on experience building pipelines or deploying models in Microsoft Azure (e.g., Azure SQL, Azure DevOps, Azure AI Foundry, Function Apps).\nDomain Expertise: Background in federal contracting, defense consulting, or enterprise workload modeling. An existing security clearance is a strong plus.\nModern Tooling: Experience with LLM integrations, prompt engineering, or developing user interfaces for data applications.\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n\nORBIS offers an excellent benefits package and a competitive salary in a professional atmosphere.","company":"Orbis","rawCompany":"orbis","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-09-23T09:47:45.768Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"About the Role:\n\nWe are looking for a highly capable Data Scientist to join our Enterprise AI & Analytics organization. Reporting directly to the Head of AI & Analytics, you will take ownership of individual data science projects from start to finish, while also serving as a key technical contributor to our company-wide AI modernization efforts.\n\nIn this role, you will independently manage analytics deliverables, build predictive and generative AI prototypes, and help turn high-level AI strategy into deployed, practical solutions for the business.\n\nWhat You’ll Do:\n\nIndependent Project Execution: Scope, manage, and deliver data science and analytics projects with a high degree of autonomy. Handle everything from data wrangling and exploratory analysis to model building and interactive dashboarding (e.g., Streamlit, Power BI).\nAI Modernization Support: Assist leadership in executing the corporate AI roadmap. Evaluate new AI tools, test agentic workflows, and help integrate LLM capabilities into existing enterprise processes.\nTechnical Prototyping: Build and deploy applied AI and machine learning solutions using modern cloud infrastructure and APIs to automate workflows and enhance business intelligence.\nPromote Responsible AI: Operationalize data governance and AI safety standards set by leadership (such as aligning with the NIST AI Risk Management Framework), ensuring all technical deliverables are secure, reproducible, and well-documented.\nCross-Functional Delivery: Track project timelines, communicate technical roadblocks, and present analytical findings clearly to both engineering peers and non-technical stakeholders.\n\nWhat We’re Looking For (Must-Haves):\n\nExperience: 3–6 years of hands-on experience in data science, analytics, or applied machine learning, with a proven ability to manage project lifecycles independently.\nEducation: Bachelor’s or Master’s degree in Mathematics, Statistics, Data Science, Computer Science, or a related quantitative field.\nTechnical Fluency: Strong proficiency in Python and SQL. Experience with standard data science libraries, version control (Git), and data visualization.\nExecution Focus: A builder’s mindset. You are comfortable taking a strategic objective from leadership and figuring out the technical steps required to make it a reality.\nCommunication: Excellent ability to document methodologies and present complex data clearly to business audiences.\n\nNice to Have:\n\nCloud Ecosystem: Hands-on experience building pipelines or deploying models in Microsoft Azure (e.g., Azure SQL, Azure DevOps, Azure AI Foundry, Function Apps).\nDomain Expertise: Background in federal contracting, defense consulting, or enterprise workload modeling. An existing security clearance is a strong plus.\nModern Tooling: Experience with LLM integrations, prompt engineering, or developing user interfaces for data applications.\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n\nORBIS offers an excellent benefits package and a competitive salary in a professional atmosphere.","datePosted":"2026-09-23T09:47:45.768Z","dateModified":"2026-09-23T09:47:45.768Z","hiringOrganization":{"@type":"Organization","name":"Orbis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4ce4a00deb67d4eae9e5c558"},"url":"https://jobsearcher.com/jobs/4ce4a00deb67d4eae9e5c558"}}