# ML/AI - Supply Chain

**Company**: Samsara
**Location**: Remote - US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $178,640-$319,000 USD
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/samsara/jobs/8232932?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fd67899c-080

## Description

Samsara is building an AI/ML team inside its Operations team to make its supply chain AI native. You would be one of its first AI/ML engineers. The goal is to design, develop, and deploy advanced machine learning and statistical models that optimize the global supply chain.

Responsibilities:

- Define the end-to-end AI transformation roadmap for supply chain

- Design, train, validate, and deploy ML models to production

- Build predictive models to forecast demand, inventory, lead times, and spend across Samsara's global supply network

- Create novel features using large-scale ERP, IoT, and third-party datasets

- 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

- Drive enhancements to the data infrastructure and analytics platform

- Mentor junior scientists through code reviews and collaborative project work

- Establish governance frameworks, documentation standards, and quality controls for model development, validation, and lifecycle management

Requirements:

- 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

- Strong Python coding skills and fluency in SQL

- Proficiency in MLOps practices

- Experience building real-time inference pipelines and managing GPU/TPU resources for training at scale

Nice to have:

- Deep Statistical Expertise

- Time-Series Mastery

- Cost Optimization Mindset

- Cross-Region Scaling

- Vendor & Open-Source Savvy

- Domain Expertise

## Skills

### Required
- Python
- SQL
- MLOps
- statistical modeling
- machine learning

### Nice to have
- Deep Learning
- Time Series Forecasting
- Cost Optimization
- Cross-Region Scaling

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/samsara/jobs/8232932?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)