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Telematics Data Python Jobs (NOW HIRING)

eNett

OR

$140K - $173K/yr

Develop public REST APIs using Python and Node for inter-service and inter-system communication ... Experience or familiarity with telematics data, time-series data, and/or geospatial data.

Netradyne

Vehicle Data Bus Engineer

San Diego, CA · On-site

$121K - $146K/yr

This role requires telematics/vehicle data bus development and test engineer experience. The ... Ability to write python scripts or other scripting experience would be a plus * Experience in ...

New

WEX

OR · On-site

$140K - $173K/yr

Develop public REST APIs using Python and Node for inter-service and inter-system communication ... Experience or familiarity with telematics data, time-series data, and/or geospatial data.

Welch Equipment

Customer Data Analyst

Denver, CO · On-site

$75K - $90K/yr

Configure and maintain forklift telematics and online monitoring systems, ensuring accurate data ... Advanced proficiency in Excel, Power BI, and data tools such as Python. * 5+ years in business ...

Lucid Motors

Software Engineer, Telematics

Seattle, WA · On-site

$119K - $163K/yr

Integrate with Cloud, Powertrain and Data Science teams * Collaborate with System engineering for ... Experience in scripting languages such as Python is a plus * Experience in the field of Automotive ...

Quanata

Actuary [Remote-US]

San Francisco, CA · On-site +1

$210K - $260K/yr

... Python + R + SQL) with cloud platform knowledge (AWS, Azure or similar) * Experience building models using GLMs or other machine learning techniques * Understanding of telematics data and usage based ...

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How much do telematics data python jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for telematics data python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Telematics Data Python specialist?

A Telematics Data Python specialist is a professional who uses Python programming to collect, process, and analyze data generated by telematics systems, such as those found in vehicles or IoT devices. They work with large volumes of data related to vehicle location, speed, diagnostics, and driver behavior. Their main role is to develop scripts and applications that extract valuable insights from telematics data, helping organizations improve fleet management, safety, and operational efficiency. These specialists often collaborate with data scientists, engineers, and IT teams to integrate telematics solutions into broader business processes.

What are the key skills and qualifications needed to thrive as a Telematics Data Python specialist, and why are they important?

To thrive as a Telematics Data Python specialist, you need expertise in Python programming, data analysis, and a solid understanding of telematics systems, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing libraries (like Pandas and NumPy), cloud platforms, and tools such as SQL and MQTT is typically required, and certifications in data analytics or cloud services are beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with cross-functional teams. These skills are essential for extracting actionable insights from telematics data and enabling data-driven decision-making in connected vehicle or IoT environments.

What are some common challenges faced by Telematics Data Python professionals in managing large-scale vehicle data?

Telematics Data Python professionals often work with vast amounts of real-time vehicle data, which can present challenges in data ingestion, cleaning, and storage. Ensuring data accuracy and consistency, handling data from diverse sensor types, and maintaining efficient data pipelines can be demanding. Additionally, collaborating with cross-functional teams such as data engineers, software developers, and fleet managers requires strong communication skills. Staying updated with evolving telematics technologies and Python libraries is also essential for success in this role.

What is the difference between Telematics Data Python vs Telematics Data Analyst?

AspectTelematics Data PythonTelematics Data Analyst
Required SkillsPython programming, data analysis, telematics systemsData analysis, statistical skills, telematics understanding
Work EnvironmentData science teams, software development projectsOperations, fleet management, reporting teams
CertificationsPython certifications, data analysis coursesData analysis certifications, telematics training

Telematics Data Python roles focus on programming and developing data solutions using Python, while Telematics Data Analysts interpret and visualize telematics data to support decision-making. Both roles require understanding telematics systems but differ in technical depth and responsibilities.

Principal Data Scientist, Customer Analytics

Principal Data Scientist, Customer Analytics

Cambridge Mobile Telematics

Cambridge, MA • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility, and they are seeking a Principal Data Scientist to lead the Customer Analytics team. This role focuses on developing customer-facing analytics and data science solutions, partnering with various teams to address complex business challenges through advanced statistical and machine learning models.
Responsibilities:
• Serve as a technical lead with a deep understanding of modeling methods from underlying mathematics, to assumptions, tradeoffs, interpretability, and limitations to ensure results are robust and reliable.
• Use independent judgment and discretion to frame ambiguous business and customer problems into well-defined data science problem statements, project plans, modeling approaches, and measurable success metrics
• Develop and implement advanced statistical and machine learning models end-to-end, including data pipelines, feature engineering, model development, validation, deployment, and ongoing monitoring
• Partner with analysts to build reporting dashboards and data products that convert model outputs into clear, actionable insights for internal stakeholders and external clients
• Complete any additional tasks as they arise
Qualifications:
Required:
• Bachelor’s degree or equivalent years of experience and/or certification in a related field
• 7+ years of working experience in data science, machine learning, advanced analytics or AI-focused roles
• Deep foundation in statistics, experimental design, and causal inference, including the ability to explain methodology choices and validate assumptions
• Demonstrated experience deploying and maintaining models or analytical systems in production using CI/CD practices, including monitoring and performance management
• Strong data science language in Python (required) and SQL
Preferred:
• Familiarity with Databricks, MLflow, Spark, or similar modern data/ML platforms
Company:
Cambridge Mobile Telematics develops DriveWell, a complete telematics and behavioral analytics solution to improve safety. Founded in 2010, the company is headquartered in Cambridge, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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