Remote Geospatial Data Scientist Jobs in Colorado

Crocs is seeking a Senior Manager, Supply Chain Data Science & AI to lead the development and scaling of AIdriven capabilities across our global supply chain. This role will drive the evolution from reporting and dashboards to predictive, prescriptive, and AIassisted decisionmaking embedded into daytoday operations. This leader will own the endtoend Data science & AI portfolio for Supply Chain, translating business priorities into a structured pipeline of AI use cases, guiding those ideas from concept through deployment, and ensuring solutions deliver measurable operational impact. The role requires a strong combination of handson data science expertise, platform and product thinking, and enterprise leadership. The ideal candidate can move seamlessly between strategy and execution while building scalable, governed AI capability.

• Build and scale enterprise AI and machine learning capabilities across supply chain functions including logistics, distribution, planning, sourcing, and labor.
• Translate business problems into welldefined AI use cases, with clear success metrics and operational outcomes.
• Define and operationalize standard frameworks for AI usecase intake, prioritization, development, deployment, and lifecycle management.
• Lead the endtoend delivery of MLdriven solutions, from problem framing and model development through production deployment and adoption tracking.
• Own and continuously evolve the Supply Chain Data Science & AI roadmap, aligned with business priorities, AOP commitments, and longterm capability goals.
• Partner with data engineering, BI, and IT teams to embed AI solutions into dashboards, workflows, and operating processes, not standalone models.
• Lead AI solution design using Microsoft technologies, including Azure AI, Azure Foundry, Copilot, and Power Platform.
• Drive adoption of GenAI, copilots, and AI agents in a secure, scalable, and governed manner.
• Evaluate, pilot, and integrate external AI tools and vendors, ensuring fit with enterprise data architecture, security standards, and longterm scalability.
• Establish best practices for model development, deployment, monitoring, explainability, and reuse, enabling repeatable delivery.
• Mentor and develop analysts and data scientists, raising overall AI maturity and execution rigor across the organization.
• Communicate progress, risks, and outcomes to senior stakeholders using clear, businessfocused language.

Required

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Supply Chain, or a related field.
• 8+ years of experience in data science, machine learning, or advanced analytics roles.
• Proven experience deploying machine learning solutions in production environments, not just proofs of concept.
• Strong programming skills in Python and proficiency in SQL.
• Experience working with largescale data, modern ML frameworks, and enterprise analytics platforms.
• Demonstrated application of analytics in supply chain, logistics, operations, or planning domains.
• Strong understanding of the AI/ML lifecycle, including deployment, monitoring, governance, and ongoing optimization.
• Ability to translate complex technical concepts into clear business outcomes and influence crossfunctional stakeholders.
• Experience leading complex initiatives in a global, matrixed enterprise environment.

Nice to Have

• Experience with the Microsoft AI ecosystem, including Azure AI, Azure Foundry, Copilot, and Power Platform.
• Exposure to Generative AI, including LLMbased solutions, prompt design, or AIassisted workflows.
• Familiarity with AI orchestration, agentbased systems, or humanintheloop automation.
• Experience working with external AI vendors or SaaS AI platforms.
• Knowledge of supply chain systems such as WMS, TMS, ERP, or planning tools.
• Background in retail, manufacturing, or logisticsdriven environments.