ML/AI, Supply Chain

🔥 45 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $178.6k - $319k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🔗 Supply Chain

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This company has sponsored H1B visas in the past.

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Samsara

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

📦 Logistics

🏗️ Construction

🏥 Healthcare

💰 Seed Round on 2014-08

Logistics • Construction • Healthcare

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.

📋 Description

• Define the end-to-end AI transformation roadmap for supply chain alongside the Senior Director of Supply Chain AI Transformation • Design, train, validate, and deploy ML models to production for demand forecasting, inventory optimization, supplier risk scoring, cellular spend prediction, and hardware cash flow • Build predictive models for demand, inventory, lead times, and spend across the global supply network • Create features from large-scale ERP, IoT, and third-party datasets • Build pipelines and ETL jobs to serve models and stakeholders • Deliver production-grade code supporting batch and real-time inference • Act as AI liaison to Product, Engineering, Procurement, and Finance • Enhance data infrastructure and analytics platforms for real-time model training, monitoring, and inference at scale • Mentor junior scientists through code reviews and collaborative project work • Serve as a scientific voice in roadmap planning, experimentation frameworks, and modeling strategy • 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 Operations management to drive adoption of AI tools and train supply chain teams on insights-driven workflows • Shape the team roadmap, scientific agenda, and modeling standards • Collaborate with Planning, Procurement, Fulfillment, Finance, Sales, and hardware, firmware, and quality engineering teams • Develop models using ERP data, IoT telemetry, market intelligence, and operational metrics to optimize the supply chain

🎯 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 • Expertise in statistical modeling and ML, including time series forecasting, optimization, anomaly detection, and causal inference • Strong Python coding skills and fluency in SQL • Proven experience developing and deploying production ML systems • Proficiency in MLOps practices, including automated testing, CI/CD, model versioning, monitoring, and performance tracking • Experience building real-time inference pipelines • Experience managing GPU/TPU resources for training at scale • Familiarity with Tableau, Power BI, AWS, GCP, and Azure • Passion for operational excellence, cost efficiency, and scalable solutions • Track record of taking products or systems from 0 to 1 • Exceptional problem-solving, critical thinking, and communication skills • Track record of cross-functional collaboration and driving adoption of data-driven solutions • Ability to design and validate A/B tests and multi-armed bandits • Experience applying Bayesian methods for uncertainty quantification • Experience building advanced forecasting models such as Prophet, LSTMs, or Transformer-based models • Experience with ML workload profiling, model compression, quantization, pruning, and serverless architectures • Ability to deploy low-latency inference across multiple geographic regions with fail-over and disaster-recovery strategies • Experience evaluating and integrating third-party ML platforms • Experience contributing to or leveraging relevant open-source projects • Deep understanding of supply chain concepts including S&OP, IBP, safety stock, and EOQ • Experience with ERP systems such as SAP, NetSuite, E2DP, and Propel • Inventory optimization theory knowledge • Ideal background in consumer electronics or B2B hardware manufacturing

🏖️ Benefits

• Initial RSU grant with no vesting cliff • Ongoing equity refresh opportunities tied to performance • Performance-based bonus/variable pay • Equity for eligible roles • Flexible, employee-led remote model • Professional development stipend • Comprehensive health plans • Parental leave plans • Flexible working model • Remote work support • In-person office option

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