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Remote Transportation Data Scientist Jobs (NOW HIRING)

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

GenLogs

Data Scientist

GenLogs is a transportation-technology company building the next generation of truck intelligence ... ABOUT THE DATA TEAM The Data Science team at GenLogs transforms raw observational data from the ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone.

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... About Penske Truck Leasing/Transportation Solutions Penske Truck Leasing/Transportation Solutions ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... About Penske Truck Leasing/Transportation Solutions Penske Truck Leasing/Transportation Solutions ...

Lorven Technologies

Data Scientist

Data Scientist Location : Remote Duration: Long term * Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 10+ Years of relevant experience. * Must be ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

GD Resources LLC

Data Scientist - Remote Role

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

Availity, LLC

Data Scientist (Remote)

Position is 100% remote. Requirements: Master's degree in Data Science, Analytics, Information Systems, or a directly related field, plus 1 year of experience as a data scientist or related ...

Great Gray

Data Scientist

The data scientist we seek comeswith strong experience in Python and its data science ecosystem ... Please note that remote employment in this role is restricted to candidates residing in states ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Knexus

Data Scientist (Remote)

Position Overview We're looking for an experienced Data Scientist to join our team at Knexus. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the ...

SAIC

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

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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 31, 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:
What job categories do people searching Remote Transportation Data Scientist jobs look for? The top searched job categories for Remote Transportation Data Scientist jobs are:
Remote Transportation Data Scientist jobs near you
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, 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 $122,738 per year, or $59 per hour.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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