Data Scientist Transportation AI (Junior/Mid-Level)

Location: McLean, VA (On-site)
Type: Full-Time

We are seeking a Transportation Data Scientist to support research and development at the intersection of AI/ML, data science, and transportation systems. This role involves developing real-world AI solutions such as vehicle load classification, crash prediction, traffic safety analytics, and trustworthy AI.

Key Responsibilities

• Conduct research on AI/ML methods, datasets, and transportation technologies.

• Prepare, clean, integrate, and fuse multimodal transportation datasets (WIM, imagery, traffic logs, weather, permits).

• Build and deploy AI/ML models for OS/OW vehicle classification, crash prediction, and synthetic data generation.

• Evaluate model performance and recommend improvements for scalability and robustness.

• Support stakeholder engagements with state DOTs, MPOs, enforcement agencies, and technical partners.

• Assist with AI roadmaps, proposals, and ITS analytics initiatives.

Required Qualifications

• Bachelor s in CS, Data Science, AI, Electrical/Transportation Engineering (Master s preferred).

• 2 5 years of experience in data science and machine learning.

• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.

• Experience in deep learning, generative AI, computer vision, and ETL/multimodal data processing.

• Strong analytical, communication, and collaboration skills.

• Ability to obtain Public Trust clearance (requires 3 years U.S. residency).

• Authorized to work in the U.S. without sponsorship.

Preferred Qualifications

• Experience with state DOTs or federal transportation agencies.

• Familiarity with transportation datasets: HSIS, SHRP2, NGSIM, SAE J2735.

• Experience with synthetic data, LLMs, or physics-informed ML.

• Knowledge of federal AI governance, risk management, and equity considerations.

• Publications or presentations at AI/transportation conferences (e.g., TRB, ITS America).