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Crocs, Inc.

Data Scientist

Crocs, Inc.
United States · Full-time · Entry

Overview

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.

Summary:

The Data Scientist – Supply Chain Analytics at Crocs Inc. designs and implements advanced analytics solutions to optimize supply chain operations. This role reports to the Director, Operations Analytics and partners closely with cross-functional teams including operations, planning, and procurement.

What You'll Do

  • Collaborate with supply chain leadership to identify high-impact analytics use cases.
  • Design, prototype, and implement machine learning and statistical models for demand forecasting, inventory optimization, transportation efficiency, and supplier performance.
  • Partner with data engineers to build scalable data pipelines and ensure clean, reliable data sources.
  • Build dashboards and tools to visualize insights and track KPIs.
  • Communicate findings clearly to both technical and non-technical collaborators to drive data-driven decisions.
  • Provide analytical support for critical initiatives and process improvements.
  • Stay current with industry trends, tools, and standard methodologies 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 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.
  • Preferred: Experience with supply chain systems (e.g., ERP, WMS, TMS).
  • Preferred: Familiarity with tools like Power BI, Tableau, or similar for data visualization.
  • Preferred: Knowledge of optimization techniques and tools (e.g., linear programming).
  • Preferred: Experience working in a manufacturing, retail, or logistics environment.

Crocs 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 classification protected by law.

Title: Data Scientist

Salary or Pay Range: $85,000 - $105,000

Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities.

At Crocs, Inc. we believe in the power of a blend of in-person and virtual collaboration to drive creativity and strengthen relationships. Your participation in this flexible schedule plays a key role in building a connected and successful team. In-office requirements vary by our work personas: Resident (5 days), Collaborator (4 days), Connector (2-3 days), Explorer (fully remote). This role has been aligned to the Explorer persona.

The application window is 45 days, but applicants are encouraged to apply as soon as possible after the posting date in order to ensure optimal consideration. The posting will be removed if the job is filled before the application window deadline.

Job Category: Corporate

Key Skills

Ranked by relevance

machine learning data visualization tensorflow power bi tableau python sql ai
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Posted
Jul 25, 2025
Type
Full-time
Level
Entry
Location
Broomfield

Industries

Retail Apparel Fashion

Categories

Engineering Information Technology

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