Senior Applied Scientist II, Supply Chain - Remote

Overview

The Senior Applied Scientist II role at Samsara focuses on designing, developing, and deploying advanced machine learning and statistical models to optimize the global supply chain.

In Short

• Design and implement machine learning models for supply chain optimization.
• Collaborate with cross-functional teams including Product, Engineering, and Finance.
• Drive AI transformation roadmap aligned with company objectives.
• Own the deployment of production-grade ML systems.
• Mentor junior scientists and lead team initiatives.
• Build predictive models for demand forecasting and inventory optimization.
• Enhance data infrastructure for real-time model training.
• Identify gaps in data and lead initiatives to address them.
• Establish governance frameworks for model development.
• Champion company cultural principles and foster an inclusive environment.

Requirements

• 8+ years of experience in applied data science or machine learning.
• Master’s or PhD in a technical field.
• Expertise in statistical modeling and machine learning.
• Strong coding skills in Python and SQL.
• Familiarity with MLOps practices.
• Experience with real-time inference pipelines.
• Knowledge of data visualization tools and cloud platforms.
• Exceptional problem-solving and communication skills.

Benefits

• Competitive total compensation package.
• Flexible working arrangements including remote options.
• Health benefits and charity fund participation.
• Opportunities for professional growth and development.