ML/AI, Supply Chain

Samsara

. Define the end-to-end AI transformation roadmap for supply chain alongside the Senior Director of Supply Chain AI Transformation .

Posted 11/6/2026full-timeRemote • United States, CanadaSeniorLead💰 $178,640 - $319,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI transformation and machine learning model development for supply chain optimization, with a strong focus on statistical modeling, real-time inference, and cross-functional collaboration. Proven ability to mentor teams and drive the adoption of data-driven solutions across various operational domains.

Highest-signal resume keywords

Machine Learning Model DevelopmentStatistical Modeling ExpertisePython Coding SkillsMLOps PracticesSupply Chain Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingTime Series ForecastingOptimizationAnomaly DetectionCausal InferenceA/B TestingBayesian MethodsInventory Optimization TheoryReal-Time Inference Pipelines

Soft Skills

Problem-SolvingCritical ThinkingCommunicationCross-Functional Collaboration

Tools & Technologies

SQLTableauPower BIAWSGCPAzureERP SystemsGPU/TPU ResourcesCI/CDModel Versioning

Certifications & Qualifications

Master's or PhD in Computer ScienceStatisticsData ScienceElectrical EngineeringOperations Research

Industry Keywords

Supply ChainOperations ResearchLogisticsManufacturingConsumer ElectronicsB2B Hardware ManufacturingS&OPIBPSafety StockEOQ

Tech Stack

Tools & technologies

AWSAzureERPETLGoogle Cloud PlatformIoTPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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