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Open nowPosted 2 days ago

SME Data Scientist Lead

SAIC1,057 open roles

Where
Scott Afb, IL, United States
Work mode
On site
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Your applicationOpen nowSME Data Scientist LeadSAIC · Scott Afb, IL, United States

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. SAIC postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 2 days ago

SAIC median: 7 days open

The posting

Job 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.

As 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.

Key Responsibilities:

  • Technical Leadership & Cloud Modernization Serve as the lead data science SME, advising USTRANSCOM leadership and JDPAC stakeholders on analytic strategy, modern data architecture, and cloud adoption. Drive the migration of legacy analytic workflows and pipelines (Teradata) into enterprise cloud environments, primarily Palantir (Maven Smart System) and AWS (War Data Platform). Translate complex operational, distribution, and supply chain questions into rigorous mathematical models, predictive algorithms, and automated analytical pipelines.
  • Data Engineering & Pipeline Development Design, implement, and govern data pipelines and ontologies across AWS and Palantir environments. Ingest, harmonize, and curate disparate, enterprise-scale logistics data from DoD transportation and supply data systems (including IGC and affiliated distribution feeds). Build robust data transformations and workflows utilizing modern cloud data tools and Power Automate to streamline recurring reporting processes.
  • Data Science, Machine Learning & Operations Research Formulate and deploy advanced statistical, operations research, and machine learning addressing sustainment supply chain readiness, capacity constraints, and network distribution dynamics. Develop predictive and prescriptive capabilities, including: Multi-echelon supply and transportation demand forecasting Network and multimodal route optimization Port throughput and distribution bottleneck analysis Supply chain vulnerability, risk, and resilience modeling Deliver operational prototypes and simulation tools that evaluate time, cost, asset visibility, and mission trade-offs under dynamic operational conditions.
  • Business Intelligence, Visualization & Automation Build and deliver interactive decision-support applications, dashboards, and exploratory tools using Palantir Workshop, Contour, Quiver, Qlik, Databricks, and Microsoft Power BI. Implement automated data alerts, workflows, and process integrations using Power Automate. Deliver high-impact executive briefings, technical documentation, and visual narratives to senior military and civilian leaders.
  • Team Mentorship & Delivery Management Lead and mentor a team of data scientists, operations research analysts, and data engineers in modern analytics engineering, version control, and collaborative development best practices. Coordinate cross-functional requirements with functional logistics SMEs, data stewards, and cloud engineers in an agile delivery framework.

Qualifications

Required Qualifications:

  • Clearance & Citizenship: Active DoD Secret clearance; U.S. Citizenship required.
  • Education & 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).
  • Cloud & 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). Hands-on experience working in modern cloud analytical ecosystems such as AWS/Palantir.
  • Programming & Modeling: Advanced proficiency in Python for data engineering, statistical modeling, and machine learning. Practical background applying linear/nonlinear optimization, simulation, network analysis, or predictive modeling to complex operational problems.
  • BI & 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). Experience automating workflows and notifications using Microsoft Power Automate.
  • Leadership & Communication: Demonstrated ability to lead technical teams, manage sprint backlogs, and convey advanced analytical concepts to non-technical operational stakeholders.

Desired Qualifications: - Master’s or Ph.D. in Operations Research, Data Science, or Applied Mathematics. - Hands-on experience within the Palantir / Maven Smart System ecosystem (Workshop, Contour, Quiver, Foundry/Ontology management). - Hands-on experience with the AWS / War Data Platform ecosystem. - Familiarity with DoD sustainment supply chain, joint deployment, and transportation systems (e.g., IGC, GATES, GDSS, CMOS, GFM, IBS). - Experience deploying MLOps pipelines within DoD enterprise cloud environments. - Agile certifications or experience leading data science efforts within Agile/DevSecOps frameworks.

About Us

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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