Transportation Data Scientist - Careers at Leidos
Leidos
Transportation Data Scientist - Careers at Leidos
Job Description
Join Leidos at FHWA’s Saxton Transportation Operations Laboratory (STOL)
Shape the future of transportation with Leidos, operating the USDOT’s premier research lab focused on safety, mobility, and environmental impacts. Support emerging tech like vehicle automation and V2X communications. This full-time on-site role in McLean, VA, drives AI innovation for FHWA projects.
Primary Responsibilities
- Lead data reviews and AI scouting for freight analytics, sensor fusion, computer vision.
- Integrate multi-source data (WIM, imagery, weather) via ETL, tackling bias and sparsity.
- Develop/deploy ML models for OS/OW vehicle classification, TMC crash prediction, synthetic data generation.
- Evaluate models for real-world robustness and scalability.
- Engage stakeholders through workshops with state DOTs, MPOs, agencies.
- Pursue new AI initiatives, crafting roadmaps for ITS anomaly detection and optimization.
- Ensure FHWA compliance via reporting and cross-team collaboration.
Required Qualifications
- Bachelor’s in relevant field (advanced degree preferred) + 5+ years AI/ML experience.
- Expertise in TensorFlow/PyTorch, Pandas, deep learning, GANs.
- DOT collaboration and business development experience required.
- 2+ years non-academic work; US authorization + Public Trust eligibility.
Why Leidos?
Work on high-impact federal projects at STOL. Competitive pay, benefits, and growth opportunities await. Learn more: STOL Overview.
Locations
- McLean, Virginia, United States
Salary
87,100 - 157,450 USD / yearly
Estimated Salary Rangehigh confidence
87,100 - 157,450 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)intermediate
- Data Processing (Pandas, NumPy)intermediate
- AI Techniques (Deep Learning, GANs, Computer Vision)intermediate
- Data Integration & ETLintermediate
- Model Evaluation (AUC, Accuracy, Scalability)intermediate
- Stakeholder Engagement with DOTsintermediate
- Multimodal Data Handling (Imagery, Sensors, Time-Series)intermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, AI, Electrical/Transportation Engineering (Master’s/PhD preferred) (experience)
- 5+ years professional experience in data science and AI/ML (experience)
- 2+ years relevant non-academic experience (experience)
- Experience collaborating with state/local DOTs and business development (experience)
- US work authorization and eligibility for Public Trust Clearance (3/5 years US residency) (experience)
- Proven data preparation for multimodal real-world applications (experience)
Responsibilities
- Conduct data/literature reviews on AI for freight, safety, operations
- Prepare/integrate multimodal datasets addressing quality issues
- Design/deploy AI/ML models for vehicle classification, crash prediction, synthetic data
- Evaluate model performance and recommend robustness improvements
- Support stakeholder outreach with DOTs, MPOs via workshops/briefings
- Identify new AI opportunities and develop roadmaps/proposals
- Collaborate on FHWA alignment, reporting, risk management
Benefits
- general: Competitive salary $87,100 - $157,450
- general: Comprehensive health, dental, vision insurance
- general: 401(k) matching and retirement plans
- general: Professional development and tuition reimbursement
- general: Paid time off, holidays, and flexible work options
- general: Access to cutting-edge FHWA research at STOL lab
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Transportation Data Scientist - Careers at Leidos
Leidos
Transportation Data Scientist - Careers at Leidos
Job Description
Join Leidos at FHWA’s Saxton Transportation Operations Laboratory (STOL)
Shape the future of transportation with Leidos, operating the USDOT’s premier research lab focused on safety, mobility, and environmental impacts. Support emerging tech like vehicle automation and V2X communications. This full-time on-site role in McLean, VA, drives AI innovation for FHWA projects.
Primary Responsibilities
- Lead data reviews and AI scouting for freight analytics, sensor fusion, computer vision.
- Integrate multi-source data (WIM, imagery, weather) via ETL, tackling bias and sparsity.
- Develop/deploy ML models for OS/OW vehicle classification, TMC crash prediction, synthetic data generation.
- Evaluate models for real-world robustness and scalability.
- Engage stakeholders through workshops with state DOTs, MPOs, agencies.
- Pursue new AI initiatives, crafting roadmaps for ITS anomaly detection and optimization.
- Ensure FHWA compliance via reporting and cross-team collaboration.
Required Qualifications
- Bachelor’s in relevant field (advanced degree preferred) + 5+ years AI/ML experience.
- Expertise in TensorFlow/PyTorch, Pandas, deep learning, GANs.
- DOT collaboration and business development experience required.
- 2+ years non-academic work; US authorization + Public Trust eligibility.
Why Leidos?
Work on high-impact federal projects at STOL. Competitive pay, benefits, and growth opportunities await. Learn more: STOL Overview.
Locations
- McLean, Virginia, United States
Salary
87,100 - 157,450 USD / yearly
Estimated Salary Rangehigh confidence
87,100 - 157,450 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)intermediate
- Data Processing (Pandas, NumPy)intermediate
- AI Techniques (Deep Learning, GANs, Computer Vision)intermediate
- Data Integration & ETLintermediate
- Model Evaluation (AUC, Accuracy, Scalability)intermediate
- Stakeholder Engagement with DOTsintermediate
- Multimodal Data Handling (Imagery, Sensors, Time-Series)intermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, AI, Electrical/Transportation Engineering (Master’s/PhD preferred) (experience)
- 5+ years professional experience in data science and AI/ML (experience)
- 2+ years relevant non-academic experience (experience)
- Experience collaborating with state/local DOTs and business development (experience)
- US work authorization and eligibility for Public Trust Clearance (3/5 years US residency) (experience)
- Proven data preparation for multimodal real-world applications (experience)
Responsibilities
- Conduct data/literature reviews on AI for freight, safety, operations
- Prepare/integrate multimodal datasets addressing quality issues
- Design/deploy AI/ML models for vehicle classification, crash prediction, synthetic data
- Evaluate model performance and recommend robustness improvements
- Support stakeholder outreach with DOTs, MPOs via workshops/briefings
- Identify new AI opportunities and develop roadmaps/proposals
- Collaborate on FHWA alignment, reporting, risk management
Benefits
- general: Competitive salary $87,100 - $157,450
- general: Comprehensive health, dental, vision insurance
- general: 401(k) matching and retirement plans
- general: Professional development and tuition reimbursement
- general: Paid time off, holidays, and flexible work options
- general: Access to cutting-edge FHWA research at STOL lab
Tags & Categories
Answer 10 quick questions to check your fit for Transportation Data Scientist - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs