VP of AI, ML and Data Strategy

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🔥 12 hours ago

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Shipium

11 - 50 employees

🛍️ eCommerce

🏢 Enterprise

💰 $27.5M Series A on 2022-04

Logistics • eCommerce • Enterprise

Shipium is a technology company specializing in optimizing supply chain and shipping logistics for businesses. Their platform employs machine learning and AI to improve shipping operations, coordinate workflows, and enhance delivery efficiency. Shipium provides tools for carrier selection, fulfillment, and simulation, enabling businesses to reduce shipping costs and increase revenue by improving estimated delivery date accuracy. By integrating with existing supply chain systems like WMS, OMS, and TMS, Shipium delivers a comprehensive solution for managing modern logistics challenges. The company serves various industries, including retail, eCommerce, and logistics service providers.

📋 Description

• Set the multi-year strategy for ML, data, and BI • Build and scale the Data Science / AI, Data Engineering, and BI Engineering organization • Manage managers and tech leads • Run performance management, career development, and retention • Operate as a peer to VP-level leaders across various functions • Own the architecture, deployment, and operation of the production ML

🎯 Requirements

• 10+ years in data science, machine learning, or data engineering • at least 5 years in a people-management or technical leadership role • demonstrated experience building or substantially scaling a data, ML, or AI organization • strong working knowledge of the modern ML and data stack • ML frameworks (e.g., scikit-learn, PyTorch, XGBoost) • LLM application development • B2B SaaS, supply chain, logistics, or e-commerce experience strongly preferred • Master's degree in Computer Science, Data Science, Statistics, Mathematics, Operations Research, or a related quantitative field preferred

🏖️ Benefits

• full medical, dental & vision coverage (with 65% coverage for dependents) • optional life insurance and long-term disability coverage • a 401(k) retirement plan • fully remote work-from-home options in 28 states • 8 paid weeks of parental leave • paid holidays annually • self-managed vacation time • sick & safety leave • volunteer time off

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