# Transportation Data Scientist

**Company**: Leidos
**Location**: McLean, VA
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Salary**: $100,000-$120,000
**Category**: Data Science
**Industry**: Technology

**Apply**: https://leidos.wd5.myworkdayjobs.com/en-US/External/job/McLean-VA/Transportation-Data-Scientist_R-00186131?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9b6cdbd2-3ad

## Description

We are seeking a talented Transportation Data Scientist at the junior to mid-level to support FHWA-funded projects at the intersection of AI, data science, and transportation. This role involves assisting in the development and deployment of 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.

**Primary Responsibilities:**

- Assist in conducting 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.

- Contribute to 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.

- Collaborate with cross-functional teams to ensure project alignment with USDOT goals.

**Required Qualifications:**

- Master’s degree in computer science, Data Science, Artificial Intelligence, Transportation Engineering, or a related field; Ph.D. preferred.

- 2+ years of professional experience in data science and AI/ML.

- Demonstrated familiarity in machine learning frameworks, data processing tools, and AI techniques.

- Strong experience in data preparation and integration, including ETL processes and handling multimodal data.

- Strong analytical skills with familiarity in model evaluation metrics and testing AI systems under varied conditions.

- Excellent communication and collaboration skills, with experience in stakeholder engagement and technical reporting.

**Preferred Qualifications:**

- Prior experience working with state DOTs or federal transportation agencies on AI initiatives.

- 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.

**Anticipated salary range for this role is $100,000-$120,000.**

## Skills

### Required
- AI
- data science
- machine learning
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy

### Nice to have
- transportation
- data integration
- ETL processes
- multimodal data
- synthetic data generation
- generative AI
- physics-informed ML

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Source: [Apply at leidos.wd5.myworkdayjobs.com](https://leidos.wd5.myworkdayjobs.com/en-US/External/job/McLean-VA/Transportation-Data-Scientist_R-00186131?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)