Data Scientist

Crocs is seeking a Data Scientist – Supply Chain Analytics to support data-driven decision-making across our Distribution & Logistics network, Wholesale Customer Operations, and Sourcing functions. This role focuses on applying advanced analytics, machine learning, and GenAI-enabled solutions to enhance operational visibility, performance, and decision-making.

The ideal candidate is a strong problem-solver who enjoys working with complex data, partnering with global teams, and translating analytics into practical business outcomes.

• Develop and deploy machine learning and statistical models to support distribution center operations, logistics performance, wholesale customer service, and sourcing analytics.


• Analyze large-scale operational data related to throughput, service levels, lead times, costs, and supplier performance.


• Partner with global Distribution, Logistics, Customer Operations (Wholesale), and Sourcing teams to translate business problems into scalable analytics solutions.


• Collaborate with data engineering teams to ensure clean, reliable, and well-structured analytical datasets.


• Build dashboards, analytical tools, and decision-support outputs using Python, SQL, and Power BI.


• Communicate insights and recommendations clearly to technical and non-technical stakeholders to drive adoption and action.


• Support experimentation and delivery of GenAI-enabled use cases, such as natural language insights, automated analysis, operational summaries, and AI-assisted decision support.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Supply Chain, or a related field.


• 2–4 years of experience in data science, advanced analytics, or applied machine learning roles.


• Strong programming skills in Python and proficiency in SQL.


• Experience with machine learning libraries such as scikit-learn, XGBoost, TensorFlow, or similar.


• Strong analytical, problem-solving, and communication skills.

Nice to Have

• Experience working with distribution, logistics, wholesale customer operations, or sourcing data.


• Familiarity with supply chain systems such as WMS, TMS, ERP, or sourcing/procurement platforms.


• Experience with Power BI or similar data visualization tools.


• Exposure to optimization techniques or operational performance analytics.


• Experience or strong interest in GenAI, including LLMs, prompt engineering, or AI-assisted analytics solutions.


• Background in retail, manufacturing, or logistics-driven environments.