{"id":3097765,"url":"https://alion.io/job/saic-sme-data-scientist-lead","title":"SME Data Scientist Lead","company":{"id":58788,"name":"SAIC","domain":"saic.com","url":"https://alion.io/company/saic","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":78,"open_postings":82,"ghost_share":0,"stale_share":0.89,"repost_share":0.012,"time_to_fill_p50_days":24,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Scott Air Force Base, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":126000,"max_usd":247000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false}],"status":"live","first_seen_at":"2026-10-22T16:00:31Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-04T06:13:29Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"SAIC is seeking a Subject Matter Expert (SME) - Data Scientist Lead to support the U.S. Transportation Command (USTRANSCOM) Joint Distribution Process Analysis Center (JDPAC V) at Scott AFB, IL. This role serves as the lead data scientist and principal technical advisor guiding advanced analytics and data engineering initiatives across the Department of Defense (DoD) sustainment supply chain and global distribution enterprise.\nAs USTRANSCOM transitions its analytical backbone from legacy on-premises systems (Teradata) to modern cloud environments-including the Palantir / Maven Smart System and AWS / War Data Platform-the SME - Data Scientist Lead will spearhead the architecture, development, and operationalization of advanced analytical models and decision-support tools. This position blends technical leadership, hands-on data science, and stakeholder collaboration to deliver actionable intelligence for global mobility, deployment, and distribution operations.\nKey Responsibilities:\nTechnical Leadership & Cloud ModernizationServe as the lead data science SME, advising USTRANSCOM leadership and JDPAC stakeholders on analytic strategy, modern data architecture, and cloud adoption.\nDrive the migration of legacy analytic workflows and pipelines (Teradata) into enterprise cloud environments, primarily Palantir (Maven Smart System) and AWS (War Data Platform).\nTranslate complex operational, distribution, and supply chain questions into rigorous mathematical models, predictive algorithms, and automated analytical pipelines.\n\nData Engineering & Pipeline DevelopmentDesign, implement, and govern data pipelines and ontologies across AWS and Palantir environments.\nIngest, harmonize, and curate disparate, enterprise-scale logistics data from DoD transportation and supply data systems (including IGC and affiliated distribution feeds).\nBuild robust data transformations and workflows utilizing modern cloud data tools and Power Automate to streamline recurring reporting processes.\n\nData Science, Machine Learning & Operations ResearchFormulate and deploy advanced statistical, operations research, and machine learning addressing sustainment supply chain readiness, capacity constraints, and network distribution dynamics.\nDevelop predictive and prescriptive capabilities, including:Multi-echelon supply and transportation demand forecasting\nNetwork and multimodal route optimization\nPort throughput and distribution bottleneck analysis\nSupply chain vulnerability, risk, and resilience modeling\n\nDeliver operational prototypes and simulation tools that evaluate time, cost, asset visibility, and mission trade-offs under dynamic operational conditions.\n\nBusiness Intelligence, Visualization & AutomationBuild and deliver interactive decision-support applications, dashboards, and exploratory tools using Palantir Workshop, Contour, Quiver, Qlik, Databricks, and Microsoft Power BI.\nImplement automated data alerts, workflows, and process integrations using Power Automate.\nDeliver high-impact executive briefings, technical documentation, and visual narratives to senior military and civilian leaders.\n\nTeam Mentorship & Delivery ManagementLead and mentor a team of data scientists, operations research analysts, and data engineers in modern analytics engineering, version control, and collaborative development best practices.\nCoordinate cross-functional requirements with functional logistics SMEs, data stewards, and cloud engineers in an agile delivery framework.\n\nRequired Qualifications:\nClearance & Citizenship: Active DoD Secret clearance; U.S. Citizenship required.\nEducation & Experience: Bachelor’s degree in Data Science, Operations Research, Mathematics, Statistics, Computer Science, Systems Engineering, or related technical field, with 10+ years of progressive experience in data science, advanced analytics, or operations research (or Master’s degree with 8+ years).\nCloud & Data Systems: Demonstrated proficiency in SQL and relational database concepts, including experience with enterprise data architectures and migration patterns (e.g., Teradata to cloud repositories).\nHands-on experience working in modern cloud analytical ecosystems such as AWS/Palantir.\n\nProgramming & Modeling: Advanced proficiency in Python for data engineering, statistical modeling, and machine learning.\nPractical background applying linear/nonlinear optimization, simulation, network analysis, or predictive modeling to complex operational problems.\n\nBI & Visual Analytics: Proven experience building self-service dashboards and decision-support tools using Microsoft Power BI, Qlik, and/or cloud-native analytics platforms (e.g., Databricks, Palantir).\nExperience automating workflows and notifications using Microsoft Power Automate.\n\nLeadership & Communication: Demonstrated ability to lead technical teams, manage sprint backlogs, and convey advanced analytical concepts to non-technical operational stakeholders.\n\nDesired Qualifications:\n- Master’s or Ph.D. in Operations Research, Data Science, or Applied Mathematics.\n- Hands-on experience within the Palantir / Maven Smart System ecosystem (Workshop, Contour, Quiver, Foundry/Ontology management).\n- Hands-on experience with the AWS / War Data Platform ecosystem.\n- Familiarity with DoD sustainment supply chain, joint deployment, and transportation systems (e.g., IGC, GATES, GDSS, CMOS, GFM, IBS).\n- Experience deploying MLOps pipelines within DoD enterprise cloud environments.\n- Agile certifications or experience leading data science efforts within Agile/DevSecOps 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