Leidos
Are you interested in shaping the future of transportation? Consider joining the Leidos team operating
FHWA’s Saxton Transportation Operations Laboratory (STOL) , a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and adoption of emerging technologies, including automation and communication in vehicles and on the roadside. Learn about STOL here: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL Leidos is seeking a highly skilled
Senior Transportation Data Scientist
to support FHWA-funded projects at the intersection of AI, data science, and transportation. This role will focus on developing and deploying AI/ML models for applications such as vehicle load classification using weigh-in-motion (WIM) data and imagery, crash prediction in traffic management centers (TMCs), and creating data ecosystems for trustworthy AI. The ideal candidate will have hands-on experience in AI model development, data integration, and stakeholder engagement, with a passion for identifying new opportunities to apply AI in state-level transportation initiatives. Location:
This role will be expected to work full-time at the customer site in McLean, VA Primary Responsibilities: Conduct data and literature reviews, including targeted searches for AI methods, datasets, and technologies relevant to freight analytics, traffic safety, and operations. Prepare and integrate datasets for AI use cases, including cleaning, normalizing, enriching, and fusing multi-source data. Lead the design, development, and deployment of AI/ML models for transportation applications. Evaluate AI model performance under diverse conditions and provide recommendations for improving model robustness, scalability, and trustworthiness. Support stakeholder outreach and engagement, including organizing peer exchanges, workshops, and technical briefings with state DOTs, MPOs, enforcement agencies, and vendors. Identify and pursue new opportunities with state DOTs for AI initiatives. Collaborate with cross-functional teams to ensure project alignment with FHWA goals. Provide technical leadership in monthly progress reporting, risk mitigation, and iterative model refinement. Required Qualifications: Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, Transportation Engineering, or a related field; Master's or Ph.D. preferred. 5+ years of professional experience in data science and AI/ML. Proven experience in data preparation and integration, including ETL processes, handling multimodal data, and addressing data quality challenges. Strong analytical skills with experience in model evaluation metrics and testing AI systems under varied conditions. Excellent communication and collaboration skills, with experience in stakeholder engagement, technical reporting, and presenting complex AI concepts to non-technical audiences. Ability to work in a fast-paced, research-oriented environment with travel up to 20% for stakeholder meetings and site visits. Ability to obtain and maintain a Public Trust clearance. All applicants must be legally authorized to work in the United States without company sponsorship. Preferred Qualifications: Prior experience working with state DOTs or federal transportation agencies on AI initiatives. Demonstrated hands-on experience proposing, designing, developing, and deploying AI systems within ITS. Familiarity with transportation-specific data sources and standards. Experience in synthetic data generation, generative AI, or physics-informed ML for transportation applications. Knowledge of federal AI governance, risk management, and equity considerations in transportation. Project management experience, including leading AI tasks in multi-agency initiatives. Publications or presentations in AI/transportation conferences. Anticipated salary range for this role is $95,000-$130,000 We are an equal opportunities employer and welcome applications from diverse candidates.
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FHWA’s Saxton Transportation Operations Laboratory (STOL) , a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and adoption of emerging technologies, including automation and communication in vehicles and on the roadside. Learn about STOL here: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL Leidos is seeking a highly skilled
Senior Transportation Data Scientist
to support FHWA-funded projects at the intersection of AI, data science, and transportation. This role will focus on developing and deploying AI/ML models for applications such as vehicle load classification using weigh-in-motion (WIM) data and imagery, crash prediction in traffic management centers (TMCs), and creating data ecosystems for trustworthy AI. The ideal candidate will have hands-on experience in AI model development, data integration, and stakeholder engagement, with a passion for identifying new opportunities to apply AI in state-level transportation initiatives. Location:
This role will be expected to work full-time at the customer site in McLean, VA Primary Responsibilities: Conduct data and literature reviews, including targeted searches for AI methods, datasets, and technologies relevant to freight analytics, traffic safety, and operations. Prepare and integrate datasets for AI use cases, including cleaning, normalizing, enriching, and fusing multi-source data. Lead the design, development, and deployment of AI/ML models for transportation applications. Evaluate AI model performance under diverse conditions and provide recommendations for improving model robustness, scalability, and trustworthiness. Support stakeholder outreach and engagement, including organizing peer exchanges, workshops, and technical briefings with state DOTs, MPOs, enforcement agencies, and vendors. Identify and pursue new opportunities with state DOTs for AI initiatives. Collaborate with cross-functional teams to ensure project alignment with FHWA goals. Provide technical leadership in monthly progress reporting, risk mitigation, and iterative model refinement. Required Qualifications: Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, Transportation Engineering, or a related field; Master's or Ph.D. preferred. 5+ years of professional experience in data science and AI/ML. Proven experience in data preparation and integration, including ETL processes, handling multimodal data, and addressing data quality challenges. Strong analytical skills with experience in model evaluation metrics and testing AI systems under varied conditions. Excellent communication and collaboration skills, with experience in stakeholder engagement, technical reporting, and presenting complex AI concepts to non-technical audiences. Ability to work in a fast-paced, research-oriented environment with travel up to 20% for stakeholder meetings and site visits. Ability to obtain and maintain a Public Trust clearance. All applicants must be legally authorized to work in the United States without company sponsorship. Preferred Qualifications: Prior experience working with state DOTs or federal transportation agencies on AI initiatives. Demonstrated hands-on experience proposing, designing, developing, and deploying AI systems within ITS. Familiarity with transportation-specific data sources and standards. Experience in synthetic data generation, generative AI, or physics-informed ML for transportation applications. Knowledge of federal AI governance, risk management, and equity considerations in transportation. Project management experience, including leading AI tasks in multi-agency initiatives. Publications or presentations in AI/transportation conferences. Anticipated salary range for this role is $95,000-$130,000 We are an equal opportunities employer and welcome applications from diverse candidates.
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