At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you're welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you're not expected to fit a mold. You're encouraged to break it and create something better.
Overview
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.
What You'll Do
- 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.
What You'll Bring to the Table
- 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.
The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other protected classification.
Job Category: Corporate
