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Skills

Process Analysis
Backbone.js
Collaboration
IT Management
Data Architecture
Algorithms
Reporting
Dynamics
Demand Forecasting
Network
Distribution
Prototyping
Visualization
Technical Writing
Military
Delivery Management
Mentorship
Version Control
Functional Requirements
Logistics
Security Clearance
Mathematics
Statistics
Computer Science
Advanced Analytics
SQL
RDBMS
Migration
Teradata
Modeling
Python
Data Engineering
Statistical Models
Machine Learning (ML)
Optimization
Network Analysis
Predictive Modelling
Business Intelligence
Dashboard
Decision Support
Microsoft Power BI
Analytics
Databricks
Workflow
Microsoft
Leadership
Communication
Sprint
Analytical Skill
Operations Research
Applied Mathematics
Apache Maven
Ontologies
Management
Amazon Web Services
WAR
Supply Chain Management
CMOS
IBS
Machine Learning Operations (ML Ops)
DoD
Cloud Computing
Data Science
Agile
DevSecOps
Information Technology
Systems Engineering
FOCUS

Process Analysis
Backbone.js
Collaboration
IT Management
Data Architecture
Algorithms
Reporting
Dynamics
Demand Forecasting
Network
Distribution
Prototyping
Visualization
Technical Writing
Military
Delivery Management
Mentorship
Version Control
Functional Requirements
Logistics
Security Clearance
Mathematics
Statistics
Computer Science
Advanced Analytics
SQL
RDBMS
Migration
Teradata
Modeling
Python
Data Engineering
Statistical Models
Machine Learning (ML)
Optimization
Network Analysis
Predictive Modelling
Business Intelligence
Dashboard
Decision Support
Microsoft Power BI
Analytics
Databricks
Workflow
Microsoft
Leadership
Communication
Sprint
Analytical Skill
Operations Research
Applied Mathematics
Apache Maven
Ontologies
Management
Amazon Web Services
WAR
Supply Chain Management
CMOS
IBS
Machine Learning Operations (ML Ops)
DoD
Cloud Computing
Data Science
Agile
DevSecOps
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2618280

Location: Scott Afb, IL, US

Date Posted: 2026-10-22

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

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 Iand 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., I 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.

Target salary range: $140,001 - $180,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111346
Position Id: 2618280
Posted 18 days ago

Company Info

About SAIC

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. 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.

Job Details

Skills

Process Analysis
Backbone.js
Collaboration
IT Management
Data Architecture
Algorithms
Reporting
Dynamics
Demand Forecasting
Network
Distribution
Prototyping
Visualization
Technical Writing
Military
Delivery Management
Mentorship
Version Control
Functional Requirements
Logistics
Security Clearance
Mathematics
Statistics
Computer Science
Advanced Analytics
SQL
RDBMS
Migration
Teradata
Modeling
Python
Data Engineering
Statistical Models
Machine Learning (ML)
Optimization
Network Analysis
Predictive Modelling
Business Intelligence
Dashboard
Decision Support
Microsoft Power BI
Analytics
Databricks
Workflow
Microsoft
Leadership
Communication
Sprint
Analytical Skill
Operations Research
Applied Mathematics
Apache Maven
Ontologies
Management
Amazon Web Services
WAR
Supply Chain Management
CMOS
IBS
Machine Learning Operations (ML Ops)
DoD
Cloud Computing
Data Science
Agile
DevSecOps
Information Technology
Systems Engineering
FOCUS

Process Analysis
Backbone.js
Collaboration
IT Management
Data Architecture
Algorithms
Reporting
Dynamics
Demand Forecasting
Network
Distribution
Prototyping
Visualization
Technical Writing
Military
Delivery Management
Mentorship
Version Control
Functional Requirements
Logistics
Security Clearance
Mathematics
Statistics
Computer Science
Advanced Analytics
SQL
RDBMS
Migration
Teradata
Modeling
Python
Data Engineering
Statistical Models
Machine Learning (ML)
Optimization
Network Analysis
Predictive Modelling
Business Intelligence
Dashboard
Decision Support
Microsoft Power BI
Analytics
Databricks
Workflow
Microsoft
Leadership
Communication
Sprint
Analytical Skill
Operations Research
Applied Mathematics
Apache Maven
Ontologies
Management
Amazon Web Services
WAR
Supply Chain Management
CMOS
IBS
Machine Learning Operations (ML Ops)
DoD
Cloud Computing
Data Science
Agile
DevSecOps
Information Technology
Systems Engineering
FOCUS

Summary

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 Iand 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., I 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.

Target salary range: $140,001 - $180,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Dice Id: 10111346
Position Id: 2618280
Posted 18 days ago

Company Info

About SAIC

Senior Data Scientist

Huntsville, Alabama

•

Today

Job ID: 2618103 Location: Huntsville, AL, US Date Posted: 2026-10-19 Category: Information Technology Subcategory: Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance Required: Secret Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join our team in Huntsville, Alabama to support our Advanced Analytics Team to utilize the Army Vantage Data Analytics System to

Full-time

USD 120,001.00 - 160,000.00 per year

SME Data Scientist Lead

Skills

Summary

About SAIC

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