Transportation Data Scientist

Overview

On Site
Depends on Experience
Full Time
Unable to Provide Sponsorship

Skills

Data Science
Computer Science
Generative Artificial Intelligence (AI)
Machine Learning (ML)
PyTorch
TensorFlow
scikit-learn
Pandas
Sensors
Public Sector
Data Processing
Time Series
Artificial Intelligence
CGI

Job Details

Transportation Data Scientist

Location: McLean, VA (On-site )
Travel: Up to 10 20%
Clearance: Public Trust eligibility required

We are seeking a Transportation Data Scientist to work at the intersection of AI, data science, and intelligent systems. This role focuses on developing and deploying machine learning models to support real-world analytics, safety, and operational decision-making in complex, data-rich environments.

<>Role Overview</>

You will lead data-driven research and applied AI initiatives, working with diverse datasets and stakeholders to design, evaluate, and deploy scalable AI/ML solutions. This position blends hands-on model development with stakeholder engagement and strategic planning for applied AI initiatives.

<>What You ll Do</>

  • Conduct data exploration and literature reviews to identify relevant AI methods, datasets, and technologies

  • Prepare, clean, integrate, and fuse multi-source datasets (e.g., sensor data, imagery, time-series, external data feeds)

  • Design, develop, and deploy AI/ML models for classification, prediction, and anomaly detection use cases

  • Evaluate model performance across varying data quality and operational conditions

  • Develop synthetic data to support model training and validation when real-world data is limited

  • Communicate technical results through reports, briefings, and presentations for technical and non-technical audiences

  • Collaborate with cross-functional teams to ensure quality, risk management, and alignment with project goals

  • Engage with external stakeholders to gather requirements, share insights, and identify new AI application opportunities

  • Contribute to planning efforts, proposals, and technical roadmaps for future AI initiatives

<>Required Qualifications</>

  • Bachelor s degree in Data Science, Computer Science, AI, Engineering, or a related field (Master s or PhD preferred)

  • 5+ years of professional experience in data science and AI/ML

  • Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)

  • Proficiency with data processing tools such as Pandas and NumPy

  • Experience working with multimodal data (e.g., imagery, sensor, time-series data) and ETL pipelines

  • Strong understanding of model evaluation metrics and validation strategies

  • Experience collaborating with external partners or public-sector stakeholders

  • Excellent written and verbal communication skills

  • Ability to work in a fast-paced, research-oriented environment

  • Eligibility for a Public Trust clearance and authorization to work in the U.S.

<>Preferred Qualifications</>

  • Experience applying AI/ML in transportation, mobility, infrastructure, or safety domains

  • Experience designing and deploying AI systems for real-world operational use

  • Familiarity with simulation, synthetic data generation, or generative AI techniques

  • Knowledge of AI governance, risk management, or responsible AI principles

  • Experience leading or coordinating technical workstreams

  • Publications or conference presentations in applied AI or engineering domains

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Gurus Infotech, Inc.