Samsara is looking to optimize and transform its global supply chain by designing, developing, and deploying advanced machine learning and statistical models to solve complex problems like demand forecasting, supply risk modeling, and cost optimization.
Requirements
- 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).
Responsibilities
- 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. (e.g., demand forecasting, inventory optimization, supplier risk scoring), ensuring robust MLOps practices and measurable ROI.
- 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.
Other
- This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.
- You are motivated by impact: Your work will drive smarter, faster, and more sustainable supply chain decisions across Samsara’s operations.
- You combine scientific rigor with real-world pragmatism: You’re skilled at navigating trade-offs between model complexity, performance, and maintainability.
- You want to work on hard problems: You’ll help tackle forecasting volatility, cost optimization, anomaly detection, and more using large, noisy, high-dimensional datasets.
- You are a self-directed leader: You identify analytical white space, set multi-quarter plans, and mentor others through influence.
