
Enterprise • Transport • Security
Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.
October 10
🏄 California – Remote
🗽 New York – Remote
+1 more states
💵 $157.7k - $238.5k / year
⏰ Full Time
🟠 Senior
🧬 Research Scientist
🦅 H1B Visa Sponsor

Enterprise • Transport • Security
Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.
• Define the end-to-end AI transformation roadmap for supply chain alongside the Director, aligning with company OKRs and working closely with executive stakeholders. • Own the design, training, validation, and deployment of ML and statistical models. • Build predictive models to forecast demand, lead times, and cellular spend across Samsara’s global supply network. • Create novel features using large-scale ERP, IoT, and third-party datasets; build pipelines and ETL jobs to serve models and stakeholders. • Deliver production-grade code that supports both batch and real-time inference with MLOps best practices. • Act as the AI liaison to Product, Engineering, Procurement, and Finance—ensuring alignment on data requirements, integration, and change management. • Drive enhancements to our data infrastructure and analytics platform to support real-time model training, monitoring, and inference at scale. • Mentor junior scientists through code reviews and collaborative project work. • Act as a key scientific voice in roadmap planning, experimentation frameworks, and modeling strategy discussions. • Identify gaps in data, tools, and processes—and lead initiatives to close them. • Establish governance frameworks, documentation standards, and quality controls for model development, validation, and lifecycle management. • Partner with Ops management to drive adoption of AI tools, define new processes, and train supply chain teams on insights-driven workflows. • Hire, develop and lead an inclusive, engaged, and high-performing team. • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
• 8+ years of experience in applied data science or machine learning, ideally in supply chain, operations research, logistics, or manufacturing. • Master’s or PhD in Computer Science, Statistics, Data Science, EE, OR, or a related technical field. • Expertise in statistical modeling or machine learning, including time series forecasting, optimization, and anomaly detection. • Strong coding skills in Python and fluency in SQL; experience developing and deploying production ML systems. • Familiarity with MLOps practices, including automated testing, CI/CD, model versioning, and monitoring. • Demonstrated track record building real-time inference pipelines and managing GPU/TPU resources. • Familiarity with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, GCP, or Azure). • A passion for operational excellence, cost efficiency, and building scalable, data-driven solutions. • Exceptional problem-solving, critical thinking, and communication abilities.
• Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more.
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