Transportation Data Scientist (Jr level) - Careers at Leidos
Leidos
Transportation Data Scientist (Jr level) - Careers at Leidos
Job Description
Join Leidos as a Junior Transportation Data Scientist
Leidos seeks a talented Junior Transportation Data Scientist to support FHWA-funded AI and data science projects in transportation. Work full-time on-site in McLean, VA, at the Turner-Fairbank Highway Research Center's STOL lab, driving innovation in vehicle load classification, crash prediction, and trustworthy AI ecosystems.
Key Responsibilities
- Assist in data and literature reviews for AI in freight analytics, traffic safety, sensor fusion, and computer vision.
- Integrate multi-source datasets (WIM, imagery, weather) addressing quality issues like bias and sparsity.
- Develop/deploy ML models using TensorFlow/PyTorch for OS/OW vehicle classification and TMC crash prediction.
- Evaluate models under real-world conditions, enhancing scalability and trustworthiness.
- Engage stakeholders via workshops with state DOTs, MPOs, and vendors.
- Pursue AI opportunities in ITS like anomaly detection and safety analytics.
- Collaborate on FHWA compliance, reporting, and risk mitigation.
Required Qualifications
- Bachelor’s in CS, Data Science, AI, or related (Master’s preferred).
- 1+ years professional transportation/data science/AI experience.
- Familiarity with transportation data (HSIS, SHRP2, NGSIM) and standards (SAE J2735).
- Expertise in data ETL, multimodal integration, ML frameworks.
- Strong analytics, communication; Public Trust eligible (3/5 years US residency).
Why Leidos?
Contribute to federal transportation innovation with pay $57,850-$104,575, growth opportunities, and a collaborative environment. Must be US-authorized. Learn more at STOL.
Locations
- McLean, Virginia, United States
Salary
57,850 - 104,575 USD / yearly
Estimated Salary Rangehigh confidence
57,850 - 104,575 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
- Transportation Data Sources (HSIS, SHRP2, NGSIM)intermediate
- Data Integration & ETLintermediate
- Model Evaluation Metrics (AUC, Accuracy)intermediate
- Stakeholder Engagement & Communicationintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, AI, Electrical/Transportation Engineering (Master’s preferred) (experience)
- 1+ years professional experience in transportation, data science, AI/ML (experience)
- Experience with transportation-specific data (HSIS, SHRP2, NGSIM) & standards (SAE J2735) (experience)
- US work authorization & eligibility for Public Trust Clearance (3/5 years US residency) (experience)
- Strong data preparation skills for multimodal data (experience)
- Analytical skills for AI model testing (experience)
- Excellent communication for non-technical audiences; up to 20% travel (experience)
Responsibilities
- Conduct data/literature reviews on AI for freight, traffic safety, operations
- Prepare/integrate datasets (cleaning, fusing multi-source data like WIM, imagery)
- Develop/deploy AI/ML models for vehicle classification, crash prediction, synthetic data
- Evaluate model performance & recommend improvements for robustness/trustworthiness
- Support stakeholder outreach (workshops, briefings with DOTs, MPOs)
- Identify AI opportunities with state DOTs (roadmaps, proposals)
- Collaborate on FHWA alignment, reporting, risk management
Benefits
- general: Competitive salary $57,850-$104,575
- general: Full-time on-site role in innovative FHWA research environment
- general: Opportunities for AI innovation in transportation
- general: Professional growth in dynamic federal projects
- general: Travel opportunities up to 20% for stakeholder engagement
- general: Comprehensive Leidos benefits package
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Answer 10 quick questions to check your fit for Transportation Data Scientist (Jr level) - Careers at Leidos @ Leidos.
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Transportation Data Scientist (Jr level) - Careers at Leidos
Leidos
Transportation Data Scientist (Jr level) - Careers at Leidos
Job Description
Join Leidos as a Junior Transportation Data Scientist
Leidos seeks a talented Junior Transportation Data Scientist to support FHWA-funded AI and data science projects in transportation. Work full-time on-site in McLean, VA, at the Turner-Fairbank Highway Research Center's STOL lab, driving innovation in vehicle load classification, crash prediction, and trustworthy AI ecosystems.
Key Responsibilities
- Assist in data and literature reviews for AI in freight analytics, traffic safety, sensor fusion, and computer vision.
- Integrate multi-source datasets (WIM, imagery, weather) addressing quality issues like bias and sparsity.
- Develop/deploy ML models using TensorFlow/PyTorch for OS/OW vehicle classification and TMC crash prediction.
- Evaluate models under real-world conditions, enhancing scalability and trustworthiness.
- Engage stakeholders via workshops with state DOTs, MPOs, and vendors.
- Pursue AI opportunities in ITS like anomaly detection and safety analytics.
- Collaborate on FHWA compliance, reporting, and risk mitigation.
Required Qualifications
- Bachelor’s in CS, Data Science, AI, or related (Master’s preferred).
- 1+ years professional transportation/data science/AI experience.
- Familiarity with transportation data (HSIS, SHRP2, NGSIM) and standards (SAE J2735).
- Expertise in data ETL, multimodal integration, ML frameworks.
- Strong analytics, communication; Public Trust eligible (3/5 years US residency).
Why Leidos?
Contribute to federal transportation innovation with pay $57,850-$104,575, growth opportunities, and a collaborative environment. Must be US-authorized. Learn more at STOL.
Locations
- McLean, Virginia, United States
Salary
57,850 - 104,575 USD / yearly
Estimated Salary Rangehigh confidence
57,850 - 104,575 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
- Transportation Data Sources (HSIS, SHRP2, NGSIM)intermediate
- Data Integration & ETLintermediate
- Model Evaluation Metrics (AUC, Accuracy)intermediate
- Stakeholder Engagement & Communicationintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, AI, Electrical/Transportation Engineering (Master’s preferred) (experience)
- 1+ years professional experience in transportation, data science, AI/ML (experience)
- Experience with transportation-specific data (HSIS, SHRP2, NGSIM) & standards (SAE J2735) (experience)
- US work authorization & eligibility for Public Trust Clearance (3/5 years US residency) (experience)
- Strong data preparation skills for multimodal data (experience)
- Analytical skills for AI model testing (experience)
- Excellent communication for non-technical audiences; up to 20% travel (experience)
Responsibilities
- Conduct data/literature reviews on AI for freight, traffic safety, operations
- Prepare/integrate datasets (cleaning, fusing multi-source data like WIM, imagery)
- Develop/deploy AI/ML models for vehicle classification, crash prediction, synthetic data
- Evaluate model performance & recommend improvements for robustness/trustworthiness
- Support stakeholder outreach (workshops, briefings with DOTs, MPOs)
- Identify AI opportunities with state DOTs (roadmaps, proposals)
- Collaborate on FHWA alignment, reporting, risk management
Benefits
- general: Competitive salary $57,850-$104,575
- general: Full-time on-site role in innovative FHWA research environment
- general: Opportunities for AI innovation in transportation
- general: Professional growth in dynamic federal projects
- general: Travel opportunities up to 20% for stakeholder engagement
- general: Comprehensive Leidos benefits package
Tags & Categories
Answer 10 quick questions to check your fit for Transportation Data Scientist (Jr level) - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs