Staff Applied Scientist

Samsara

. Define the end-to-end AI transformation roadmap for supply chain alongside the Senior Director of Supply Chain AI Transformation, aligning with company OKRs and executive stakeholders .

Posted 9/25/2026full-timeRemote • United States, CanadaLead💰 $178,640 - $319,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudERPETLGoogle 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, aligning with company OKRs and executive stakeholders
Design, train, validate, and deploy production ML models for demand forecasting, inventory optimization, supplier risk scoring, cellular spend prediction, and hardware cash flow
Build predictive models forecasting demand, inventory, lead times, and spend across the global supply network
Create features from large-scale ERP, IoT, and third-party datasets and build pipelines and ETL jobs
Deliver production-grade code supporting batch and real-time inference with MLOps best practices
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 AI adoption, define processes, and train supply chain teams
Champion Samsara's cultural principles as the company scales globally

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 and managing GPU/TPU resources for training at scale
Familiarity with Tableau, Power BI, and cloud platforms including 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 and apply Bayesian methods for uncertainty quantification
Experience building advanced forecasting models such as Prophet, LSTMs, or Transformer-based models
Experience with model compression, including quantization and 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 and relevant open-source projects
Deep understanding of supply chain concepts including S&OP, IBP, safety stock, and EOQ
Experience with ERP systems including SAP, NetSuite, E2DP, and Propel
Ideal background in consumer electronics or B2B hardware manufacturing

Benefits

Comp & perks

Initial RSU grant with no vesting cliff
Ongoing refresh equity opportunities tied to performance
Performance-based bonus/variable pay
Flexible, employee-led remote model
Professional development stipend
Comprehensive health plans
Parental leave plans
Above-market total compensation program
Remote, hybrid, and in-person work options depending on role and operational requirements