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Remote Transportation Data Scientist Jobs (NOW HIRING)

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Remote Summary: The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • ...

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Clinical Data Scientist

Irving, TX · On-site +1

$130K - $160K/yr

Clinical Data Scientist Job Summary The RedSail Technologies Network Services Business Unit has the ... Position is performed in a general office environment, home office, or approved remote workspace ...

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

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Remote Transportation Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Jul 13, 2026, the average yearly pay for remote transportation data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are Remote Transportation Data Scientists?

Remote Transportation Data Scientists are professionals who analyze and interpret transportation-related data while working remotely, often from home or another offsite location. They use statistical methods, machine learning, and data visualization tools to solve problems related to traffic flow, logistics, public transit, and infrastructure planning. Their insights help organizations improve transportation systems, reduce costs, and enhance safety and efficiency. These scientists often collaborate with engineers, urban planners, and government agencies, leveraging large datasets to inform decision-making. Working remotely allows them to access and analyze data using cloud-based platforms and collaborate virtually with teams.

How do Remote Transportation Data Scientists typically collaborate with cross-functional teams to implement data-driven solutions?

Remote Transportation Data Scientists often work closely with engineers, operations managers, and software developers to translate complex data analyses into actionable transportation solutions. Collaboration usually occurs through virtual meetings, shared dashboards, and regular project updates to ensure alignment on objectives and timelines. Effective communication and documentation are crucial, as team members may be spread across different locations and time zones. This collaborative approach enables data scientists to integrate their insights into routing algorithms, demand forecasting models, or transportation optimization projects.

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

To thrive as a Remote Transportation Data Scientist, you need a strong background in data analysis, statistics, and transportation systems, typically supported by a degree in data science, engineering, or a related field. Proficiency in programming languages like Python or R, GIS tools, SQL databases, and familiarity with machine learning frameworks are vital, and certifications such as Certified Analytics Professional (CAP) can be beneficial. Excellent problem-solving, communication, and collaborative skills are crucial for translating complex data into actionable insights and effectively working with remote teams. These skills enable data-driven decisions that optimize transportation networks and address evolving mobility challenges.
More about Remote Transportation Data Scientist jobs
What cities are hiring for Remote Transportation Data Scientist jobs? Cities with the most Remote 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 Remote Transportation Data Scientist jobs? States with the most job openings for Remote Transportation Data Scientist jobs include:
Infographic showing various Remote Transportation Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Job description

Job Title: Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.
  • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.
REQUIREMENTS
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Experience developing and applying machine learning models, including: Natural Language Processing (NLP), Semantic search or information retrieval, Entity resolution or relationship modeling.
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional, matrixed teams in an Agile environment.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-CD1 Ref: #851-Rockville-S1