ML/AI - Supply Chain

The role

You will design, develop, and deploy advanced machine learning and statistical models to optimize the global supply chain. You will work across fulfillment, inventory, returns, planning, and cost management using IoT and ERP data.

What you will do

• Define the end-to-end AI transformation roadmap for supply chain
• Design, train, validate, and deploy ML models to production
• Build predictive models for demand, inventory, lead times, and spend
• Create novel features using large-scale ERP, IoT, and third-party datasets
• Deliver production-grade code for batch and real-time inference
• Act as the AI liaison to Product, Engineering, Procurement, and Finance
• Drive enhancements to data infrastructure and analytics platforms
• Mentor junior scientists through code reviews and collaborative work
• Identify gaps in data, tools, and processes
• Establish governance frameworks and documentation standards

Required qualifications

• 8+ years in applied data science or ML, ideally in supply chain, operations research, logistics, or manufacturing
• Master's or PhD in Computer Science, Statistics, Data Science, EE, OR, or related technical field
• Expert in statistical modeling and ML: time series forecasting, optimization, anomaly detection, causal inference
• Strong Python coding skills
• Fluency in SQL
• Proven experience developing and deploying production ML systems
• Proficiency in MLOps practices: automated testing, CI/CD, model versioning, monitoring, performance tracking
• Experience building real-time inference pipelines
• Experience managing GPU/TPU resources for training at scale
• Familiar with data visualization tools (Tableau, Power BI)
• Familiar with cloud platforms (AWS, GCP, Azure)
• Ability to explain complex technical concepts to non-technical stakeholders

Nice to have

• Deep Statistical Expertise: design and validate experiments (A/B, multi-armed bandits) and apply Bayesian methods
• Time-Series Mastery: building advanced forecasting models (e.g., Prophet, LSTMs, Transformer-based)
• Cost Optimization Mindset: profiling ML workloads and driving down cloud/GPU spend
• Cross-Region Scaling: deploy low-latency inference across multiple geographic regions
• Vendor & Open-Source Savvy: evaluating and integrating third-party ML platforms and contributing to open-source
• Domain Expertise: understanding of supply chain concepts (S&OP, IBP, safety stock, EOQ), ERP systems, and inventory optimization theory

Benefits

• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health plans
• Parental leave plans
• Performance-based bonus/variable pay
• Equity

Before you apply

• All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location

About the company

Samsara is the pioneer of the Connected Operations Cloud, a platform that enables organizations to harness Internet of Things (IoT) data to improve operations. The company helps improve the safety, efficiency and sustainability of physical operations.