Principal Data Scientist, AI - Remote

Overview

This position is posted by Jobgether on behalf of Cambridge Mobile Telematics (CMT). We are currently looking for a Principal Data Scientist, AI in Massachusetts (USA).

As a Principal Data Scientist, AI, you’ll play a central role in designing and deploying cutting-edge AI systems built on real-world sensor and telematics data. You'll lead the charge in developing multi-modal and time-series models that improve risk prediction, crash detection, and driver behavior analysis. Working at the intersection of AI research and practical implementation, you'll collaborate across teams to turn innovation into impactful, scalable products. This is a high-impact role for someone with deep technical knowledge and a passion for solving complex problems in dynamic, real-world environments.

In Short

• Lead the end-to-end lifecycle of advanced AI models, including pre-training, fine-tuning, optimization, and deployment.
• Design physics-aware and self-supervised learning algorithms tailored to sensor-rich, spatio-temporal data.
• Build and maintain robust, scalable ML pipelines using distributed computing frameworks (e.g., PyTorch DDP, Horovod, Ray).
• Integrate AI models into production systems, ensuring reliability, efficiency, and scalability across cloud and edge environments.
• Drive cross-functional collaboration with engineering, product, and research teams to translate AI breakthroughs into real-world telematics solutions.
• Mentor junior data scientists and contribute to the overall AI/ML strategy and roadmap.
• Stay current with AI advancements, promoting the adoption of relevant technologies, tools, and ethical practices.
• Engage in tasks related to model explainability, bias mitigation, and AI lifecycle management.
• Handle other related duties as they arise.

Requirements

• Deep technical knowledge in AI and Data Science.
• Experience with multi-modal and time-series models.
• Proficiency in building and maintaining ML pipelines.
• Strong collaboration skills across teams.
• Experience mentoring junior data scientists.
• Knowledge of ethical AI practices.

Benefits

• Opportunity to work on cutting-edge AI projects.
• Collaborative work environment.
• Professional development opportunities.
• Impactful role in a growing company.