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Data Scientist

Requisition ID:  13808
Job Location(s): 

IN

Time in Office:  Remote

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

We are seeking a Supply Chain Data Scientist to partner with supply chain leaders and cross-functional teams to develop advanced analytics solutions that improve forecasting, inventory performance, transportation efficiency, and supplier outcomes. This role blends data science, data engineering collaboration, and business communication to turn data into measurable operational impact.

What You'll Do

Analytics Strategy & Development

  • Collaborate with supply chain leadership to identify high-impact analytics use cases.
  • Design, prototype, and implement machine learning and statistical models to address business challenges such as demand forecasting, inventory optimization, transportation efficiency, and supplier performance.

Data Engineering & Management

  • Partner with data engineers to build scalable data pipelines and ensure clean, reliable data sources.
  • Extract, clean, and transform large volumes of structured and unstructured supply chain data.

Visualization & Decision Support

  • Build dashboards and tools to visualize insights and track KPIs.
  • Communicate findings clearly to both technical and non-technical stakeholders to drive data-driven decisions.

Cross-Functional Collaboration

  • Work closely with operations, planning, and procurement teams to understand domain-specific challenges and opportunities.
  • Provide analytical support for key strategic initiatives and process improvements.

Innovation & Thought Leadership

  • Stay up to date with industry trends, tools, and best practices in AI, machine learning, and supply chain analytics.
  • Contribute to a culture of continuous improvement and data literacy across the organization.

What You'll Bring to the Table

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Supply Chain Management, or a related field.
  • 2+ years of hands-on experience in data science or advanced analytics, preferably within supply chain or operations.
  • Strong programming skills in Python or R.
  • Proficiency in SQL and experience working with large-scale databases.
  • Experience with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow)
  • Strong analytical, problem-solving, and critical thinking skills.

Qualifications (Preferred)

  • Experience with supply chain systems (e.g., ERP, WMS, TMS).
  • Familiarity with tools like Power BI, Tableau, or similar for data visualization.
  • Knowledge of optimization techniques and tools (e.g., linear programming).
  • Experience working in a manufacturing, retail, or logistics environment.

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 

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