Cambridge Mobile Telematics · 9 hours ago
Senior Data Scientist
Cambridge Mobile Telematics (CMT) is the world's largest telematics service provider, focused on making roads and drivers safer. As a Senior Data Scientist, you will design and implement ML/AI systems for the Claims Data Science team, enhancing claims processing and outcomes through robust, production-ready models.
MobilePublic SafetyTransportation
Responsibilities
Use independent judgment and discretion to develop ML / DL models which pattern driving behaviors and vehicle kinematics in data collected via smartphone sensors
Leads projects and solutions through the full development stages, from data pre-processing, modeling, testing, through roll-out with minimum management oversight
Write code for debugging complex issues and creating new solutions that will run as part of production systems
Support customers' requests regarding the production ML models and derive deep insights from data
Communicate and present the data science work within the data science team as well as to stakeholders across the org and to collaborate across different teams
Complete any additional tasks as they arise
Qualification
Required
Bachelor's degree or equivalent years of experience and/or certification in Data Science, Computer Science, Statistics, Mathematics or Engineering
4+ years of relevant working experience in Data Science
Must possess a deep understanding of data science principles, algorithms and practices, such as machine learning, deep learning, statistics and probability
Must possess a thorough knowledge of software development process, and proven coding skills using scripting languages e.g. Python, Pandas, NumPy, scikit-learn and SQL
Ability to write and navigate code, request data from data sources and code from scratch
Experience with deep learning frameworks (TensorFlow, Keras, Torch, Caffe, etc.) and knowledge of Big Data infrastructure (Hadoop, Spark, etc.) will be a plus
A great team player and quick learner
Preferred
Master's or PhD preferred
Experience working with sensor, telematics or other high-frequency time-series data and the associated data-quality and pipeline challenges
Hands-on experience with deploying and monitoring models in production (MLOps best practices, model versioning, CI/CD for ML)
Familiarity with modern vision model approaches and practical experience applying them to image and video problems (model selection, evaluation, and deployment)
Practical experience with large language models and LLM inference approaches — able to evaluate model tradeoffs and select appropriate models and AI tools for a given task
Benefits
Fair and competitive salary based on skills and experience, and annual performance bonus
Equity may be awarded in the form of Restricted Stock Units (RSUs)
Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
Unlimited Paid Time Off including vacation, sick days & public holidays
Flexible scheduling and work from home policy depending on role and responsibilities
Feel great working to improve road safety around the world!
Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
Extensive wellness, education and employee assistance programs
Company
Cambridge Mobile Telematics
Cambridge Mobile Telematics develops DriveWell, a complete telematics and behavioral analytics solution to improve safety.
H1B Sponsorship
Cambridge Mobile Telematics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (17)
2024 (13)
2023 (12)
2022 (23)
2021 (13)
2020 (8)
Funding
Current Stage
Growth StageTotal Funding
$502.5MKey Investors
SoftBank Vision Fund
2018-12-19Private Equity· $500M
2014-09-03Series Unknown· $2.5M
Leadership Team
Recent News
2025-11-18
Company data provided by crunchbase