
1001 - 5000 employees
🏨 Hospitality
🏗️ Construction
✈️ Travel
💰 Seed on 2022-01
Hospitality • Construction • Travel
PODS is a moving and storage company offering portable, weather-resistant containers delivered to customers' locations for DIY packing, monthly rental, and optional storage at secure, climate-controlled Storage Centers. They provide various container sizes (8', 12', 16'), ground-level loading, tie-downs, and optional professional loading/unloading assistance, and support local and long-distance moves, storage-only services, financing, and online move management.
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1001 - 5000 employees
🏨 Hospitality
🏗️ Construction
✈️ Travel
💰 Seed on 2022-01
Hospitality • Construction • Travel
PODS is a moving and storage company offering portable, weather-resistant containers delivered to customers' locations for DIY packing, monthly rental, and optional storage at secure, climate-controlled Storage Centers. They provide various container sizes (8', 12', 16'), ground-level loading, tie-downs, and optional professional loading/unloading assistance, and support local and long-distance moves, storage-only services, financing, and online move management.
• Build internal operational decision tools using forecasting, optimization, simulation, and analytical outputs • Work with operational stakeholders to understand decision-making processes and create effective workflows • Partner with data scientists and IT to productionize models and analytical solutions • Connect applications to operational data, databases, APIs, cloud data platforms, and enterprise systems • Rapidly build, deploy, test, and iterate solutions based on user feedback and observed usage • Develop reusable components, patterns, and frameworks for Operations applications • Own application development and partner with IT on deployment, monitoring, security, and ongoing support • Troubleshoot issues and improve application performance, reliability, and usability • Document application logic, architecture, workflows, and dependencies • Communicate progress, tradeoffs, and technical considerations to data scientists, operational stakeholders, and technology partners • Report to the Director, Operations Data Science & AI
• Bachelor's degree in Computer Science, Software Engineering, Data Science, Engineering, or a related technical field required • 4+ years of software development experience, including building data-intensive applications, internal tools, or analytical applications • Strong hands-on experience with Python and SQL • Experience developing applications that interact with databases, APIs, and analytical models • Experience rapidly building and deploying data-intensive applications or decision-support tools • Experience with modern software development practices including Git, testing, CI/CD, and containerization • Strong Python software development skills • Ability to use lightweight frameworks, reusable components, modern development tools, and AI-assisted development tools where appropriate • Experience testing, deploying, monitoring, and supporting production applications • Ability to create clear, intuitive interfaces and visualizations • Ability to work directly with operational stakeholders and translate business needs into technical solutions • Ability to explain technical concepts clearly and document work • Ability to independently take loosely defined problems through implementation • Ability to sit at a desk and use a computer for up to 8 hours a day • Ability to stand and walk up to 8 hours a day; ability to stoop, bend, and lift boxes weighing up to 50 lbs. • Ability to hear and verbally communicate using a telephone handset and/or connected headset device • Regular attendance and punctuality required • May be subject to pre-employment criminal background check and/or drug screening and random drug screenings in accordance with company policy
• Full-time employment • Remote work arrangement • Climate-controlled office environment during normal business hours • Regular business hours • Negligible travel requirements
Apply Now🔥 1 minute ago
Forward Deployed Engineer building Python and SQL applications for PODS’ operational data science systems. Productionizing forecasting, optimization, and decision-support tools for logistics operations.
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💰 Seed on 2022-01
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