Staff Applied Scientist

🕒 Setembro 25

🌐 Estados Unidos, Canadá – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇨🇦 Canadá – Remoto

💵 $178.640 - $319.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧬 Cientista Pesquisador(a)

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Samsara

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2015

📦 Logística

🏗️ Construção

🏥 Saúde

💰 Seed Round em 2014-08

Logistics • Construction • Healthcare

Samsara é uma empresa de tecnologia que oferece uma plataforma completa de operações voltada a aprimorar a eficiência, a segurança e a sustentabilidade das organizações. Suas soluções incluem segurança baseada em vídeo, telemetria veicular, monitoramento de equipamentos, aplicativos para a força de trabalho e visibilidade de instalações. A Samsara atende a diversos setores, como transporte, logística, construção e governo. A plataforma conecta pessoas, sistemas e dados, permitindo que as organizações tomem decisões mais rápidas e orientadas por dados. A tecnologia de Connected Operations da Samsara ajuda organizações complexas a operar com mais eficácia, oferecendo GPS em tempo real, alertas proativos, treinamentos de compliance e rastreamento de ativos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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