1 day ago
Base Salary
$179k - $319k/yr
Responsibilities
- Define the end-to-end AI transformation roadmap for supply chain with senior leadership and executive stakeholders.
- Design, train, validate, deploy, and monitor production ML models for demand, inventory, lead times, supplier risk, cellular spend, cash flow, and disruptions.
- Build features, data pipelines, ETL jobs, batch and real-time inference systems using ERP, IoT, telemetry, third-party, and operational data.
- Drive improvements to data infrastructure and analytics platforms supporting model training, monitoring, and inference at scale.
- Establish governance frameworks, documentation standards, quality controls, experimentation frameworks, and modeling standards.
- Partner with Product, Engineering, Procurement, Finance, and Operations teams to align data requirements, integrate solutions, and drive adoption.
- Mentor junior scientists through code reviews and collaborative project work.
- Identify gaps in data, tools, and processes and lead initiatives to close them.
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, Electrical Engineering, Operations Research, or a related technical field.
- Expertise in statistical modeling and machine learning, including time-series forecasting, optimization, anomaly detection, and causal inference.
- Strong Python and SQL skills with experience developing and deploying production ML systems.
- Experience with MLOps, automated testing, model versioning, monitoring, performance tracking, and real-time inference pipelines.
- Experience managing GPU/TPU resources and deploying low-latency inference at scale.
- Familiarity with Tableau, Power BI, AWS, GCP, and Azure.
- Preferred experience with A/B testing, multi-armed bandits, Bayesian methods, Prophet, LSTMs, Transformer-based models, quantization, pruning, serverless architectures, third-party ML platforms, and open-source projects.
- Preferred knowledge of supply-chain concepts including S&OP, IBP, safety stock, EOQ, ERP systems, and inventory optimization theory.
- Preferred background in consumer electronics or B2B hardware manufacturing and experience scaling systems across regions with failover and disaster recovery.
Benefits
- Remote role open to candidates residing in the US or Canada.
- Annual base salary range is $178,640–$319,000 USD, with eligibility for RSUs and performance-based bonus or variable pay.
- Flexible employee-led remote model with offices available for employees who prefer working in person.
- Professional development stipend, comprehensive health plans, and parental leave plans.
- Initial RSU grant with no vesting cliff and ongoing performance-based refresh opportunities, subject to plan terms.
Tech Stack
Categories
Data EngineeringML Engineering
About Samsara
Samsara builds a Connected Operations Cloud that uses IoT hardware and software to help fleets and other physical-operations organizations monitor vehicles, assets, and worksites. Its platform spans video-based driver safety, vehicle telematics, equipment monitoring, and mobile workflows, sold as subscriptions with accompanying devices. Founded in 2015 and headquartered in San Francisco, Samsara is a public company on the NYSE (ticker: IOT) serving transportation, construction, manufacturing, field services, and government.