Principal Research Assistant
Center for Justice Innovation
Senior Applied Scientist II, Supply Chain
Samsara
full-time
Posted on:
Location Type: Remote
Location: Remote • California, New York, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $157,675 - $238,500 per year
Job Level
Senior
Tech Stack
AWSAzureCloudERPETLGoogle Cloud PlatformIoTPythonSQLTableau
About the role
- Define the end-to-end AI transformation roadmap for supply chain alongside the Director, aligning with company OKRs and working closely with executive stakeholders.
- Own the design, training, validation, and deployment of ML and statistical models.
- Build predictive models to forecast demand, lead times, and cellular spend across Samsara’s global supply network.
- Create novel features using large-scale ERP, IoT, and third-party datasets; build pipelines and ETL jobs to serve models and stakeholders.
- 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—ensuring alignment on data requirements, integration, and change management.
- Drive enhancements to our data infrastructure and analytics platform to support real-time model training, monitoring, and inference at scale.
- Mentor junior scientists through code reviews and collaborative project work.
- Act as a key scientific voice in roadmap planning, experimentation frameworks, and modeling strategy discussions.
- 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 Ops management to drive adoption of AI tools, define new processes, and train supply chain teams on insights-driven workflows.
- Hire, develop and lead an inclusive, engaged, and high-performing team.
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
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, EE, OR, or a related technical field.
- Expertise in statistical modeling or machine learning, including time series forecasting, optimization, and anomaly detection.
- Strong coding skills in Python and fluency in SQL; experience developing and deploying production ML systems.
- Familiarity with MLOps practices, including automated testing, CI/CD, model versioning, and monitoring.
- Demonstrated track record building real-time inference pipelines and managing GPU/TPU resources.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, GCP, or Azure).
- A passion for operational excellence, cost efficiency, and building scalable, data-driven solutions.
- Exceptional problem-solving, critical thinking, and communication abilities.
Benefits
- Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical modelingtime series forecastingoptimizationanomaly detectionPythonSQLMLOpsreal-time inference pipelinesdata-driven solutions
Soft skills
problem-solvingcritical thinkingcommunicationmentoringcollaborationleadershipchange managementcustomer success focusinclusive team buildinggrowth mindset
Certifications
Master’s degreePhD
