1

Senior Transportation Data Scientist Jobs (NOW HIRING)

Citian is seeking a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and ...

... help senior leadership make informed decisions. The HNTB Digital Transformation Solutions (DTS) team is responsible for developing advanced analytics products, applying data visualization and ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center ... The role may involve working with data from transportation management systems, warehouse management ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center ... The role may involve working with data from transportation management systems, warehouse management ...

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... The role may involve working with data from transportation management systems, warehouse management ...

next page

Showing results 1-20

Senior Transportation Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do senior transportation data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior transportation data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a Senior Transportation Data Scientist do?

A Senior Transportation Data Scientist analyzes and interprets complex transportation data to help improve systems, optimize routes, and inform decision-making for public and private sector organizations. They use advanced statistical methods, machine learning, and data visualization tools to identify trends, forecast demand, and solve transportation challenges. Their work often supports projects like urban planning, traffic management, and the development of smart mobility solutions.

What is the difference between Senior Transportation Data Scientist vs Transportation Data Analyst?

AspectSenior Transportation Data ScientistTransportation Data Analyst
Required CredentialsAdvanced degrees (Master's/PhD), data science certificationsBachelor's degree, basic data analysis certifications
Work EnvironmentAdvanced analytics teams, cross-functional projectsOperational teams, reporting, and dashboards
Employer & Industry UsageTech firms, logistics companies, government agenciesTransportation companies, municipal agencies, consulting firms

The main difference is that Senior Transportation Data Scientists typically hold advanced degrees and focus on complex modeling and predictive analytics, while Transportation Data Analysts handle data reporting and basic analysis. Senior Data Scientists develop models to optimize transportation systems, whereas Data Analysts interpret data for operational insights.

How does a Senior Transportation Data Scientist typically collaborate with engineers and urban planners on projects?

As a Senior Transportation Data Scientist, collaboration with engineers and urban planners is a key part of the role. You’ll often work in cross-functional teams to analyze large datasets, identify trends, and create models that inform infrastructure planning and policy decisions. Your expertise in data analysis and predictive modeling helps translate technical findings into actionable recommendations that engineers and planners can use to design efficient, sustainable transportation systems. Regular meetings, shared project management tools, and clear communication are essential for ensuring that everyone’s insights are integrated into final project outcomes.

What are the key skills and qualifications needed to thrive as a Senior Transportation Data Scientist, and why are they important?

To excel as a Senior Transportation Data Scientist, you need advanced expertise in statistics, data analysis, and transportation systems, typically supported by a degree in data science, engineering, or a related field. Proficiency in Python, R, SQL, GIS software, and experience with machine learning frameworks and big data platforms is essential. Strong problem-solving abilities, clear communication, and project management skills help you collaborate with stakeholders and convey insights effectively. These competencies ensure you can develop data-driven solutions that optimize transportation operations and inform strategic decisions.
More about Senior Transportation Data Scientist jobs
What cities are hiring for Senior Transportation Data Scientist jobs? Cities with the most Senior Transportation Data Scientist job openings:
What are the most commonly searched types of Transportation Data Scientist jobs? The most popular types of Transportation Data Scientist jobs are:
What states have the most Senior Transportation Data Scientist jobs? States with the most job openings for Senior Transportation Data Scientist jobs include:
Infographic showing various Senior Transportation Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Transportation Data Scientist

Citian

Washington, DC • On-site

Other

Posted 11 days ago


Job description

Who You Are:

Citian is seeking a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning. The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python/SQL environment. You have at least 3+ years of data science experience and NLP. You will collaborate with cross-functional teams to enhance our products and services, driving innovation and providing actionable intelligence to meet business goals. If you are passionate about data and are eager to contribute to the success of a startup, we would love to hear from you.

Responsibilities:

  • Model Development: Develop and optimize data science models to process, analyze, and extract information from varying data sources, particularly textual.
  • Machine Learning and AI: Apply machine learning and artificial intelligence techniques to build predictive and prescriptive models.
  • Data Preprocessing: Clean, preprocess, and transform large datasets to prepare them for analysis and model training.
  • Feature Engineering: Identify and engineer relevant features to enhance model performance and accuracy.
  • Model Deployment and Evaluation: Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.
  • Collaboration: Work closely with cross-functional teams, including engineers, product managers, and domain experts, to understand business requirements and deliver data science solutions that meet those needs.
  • Research: Stay updated on the latest advancements in NLP and AI research and apply them to real-world problems as needed.
  • Embrace the startup mentality by wearing multiple hats and stepping outside traditional job roles as needed. Your versatility and willingness to take on diverse responsibilities will be key to our success in a dynamic and evolving landscape.

Qualifications:

  • Bachelor's in Computer Science, Data Science, or a related field
  • 3+ years of experience in machine learning, artificial intelligence, and data science ideally within the transportation industry
  • Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.), and Python NLP libraries (NLTK, SpaCy, etc.)
  • Strong knowledge of machine learning techniques, NLP and AI algorithms
  • Experience working with geospatial data (SQL PostGIS, Python GeoPandas, ArcToolbox Deep Learning, etc.)
  • Experience with transformers and LLMs (HuggingFace, GPT, PyTorch, TensorFlow, etc.) and cloud infrastructure platforms such as Snowflake and AWS
  • Demonstrated ability to work in a collaborative team environment
  • Excellent communication and data storytelling skills
  • Strong problem-solving and analytical skills