Highlights
Leverage cutting-edge technologies, collaborate globally, enhance operational efficiency.
Description
Job Summary
pAre you a Data Scientist looking to make an impact in the supply chain and logistics sector? Join Crocs as a Data Scientist – Supply Chain Analytics where you will leverage advanced analytics, machine learning, and GenAI technologies to enhance operational visibility and decision-making. This role offers opportunities for collaboration with global teams and translating complex data into actionable insights.
Responsibilities
- Develop and deploy machine learning models for distribution center operations, logistics performance, wholesale customer service, and sourcing analytics.
- Analyze large-scale operational data to identify trends and optimize processes.
- Collaborate with global teams to translate business challenges into scalable solutions.
- Ensure clean and reliable datasets by working closely with data engineering teams.
- Create dashboards and analytical tools using Python, SQL, and Power BI.
- Promote the adoption of insights through clear communication to both technical and non-technical stakeholders.
- Innovate with GenAI solutions for operational summaries and AI-assisted decision support.
Required Skills
- Python Programming
- Data Analysis
- Machine Learning
- Data Visualization
- Communication
Required Skills Explained
- Strong programming skills in Python, essential for data manipulation and model development.
- Proficiency in SQL for efficient querying of large datasets.
- Strong analytical and problem-solving skills to translate business problems into actionable insights.
- Communication skills to effectively present findings to both technical and non-technical stakeholders.
Who is this for
pThis role is perfect for Data Scientists who are excited about applying advanced analytics to improve operational performance in a dynamic and global environment. Ideal candidates have experience with complex data sets and enjoy collaborating across teams.
Why This Job is a Good Opportunity
ulliCareer development in a dynamic environment with opportunities for innovation and impact.liCollaboration with global teams across various functions, offering diverse learning experiences.liUtilization of advanced analytics to drive operational efficiency and strategic decision-making.liInvolvement in cutting-edge projects including GenAI-enabled solutions, keeping you at the forefront of technology.
Interview Preparation Tips
- Familiarize yourself with supply chain concepts and key metrics relevant to operations management.
- Prepare examples where you've used data analysis or machine learning to solve real-world problems.
- PRACTICE your communication skills, as clear and concise explanations are crucial for success in this role.
- Showcase your experience with Python, SQL, and any other relevant programming languages or tools mentioned in the job description.
Career Growth in This Role
pThis position offers significant opportunities for career advancement within Crocs' corporate structure. The role's focus on data-driven decision-making can lead to higher-level roles such as Senior Data Scientist or Director of Analytics, especially if you demonstrate exceptional problem-solving skills and a commitment to innovation.pContinuous learning in areas like GenAI could further enhance your value, potentially opening up specialized positions within the company that leverage emerging technologies. Furthermore, the global nature of this role provides exposure to various operational aspects, which can be valuable for those interested in taking on broader management responsibilities.
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Skills
Frequently Asked Questions
What kind of data will I be working with?You will work with large-scale operational data related to distribution, logistics, customer service, and sourcing.
Is there any experience in retail or manufacturing needed?While not mandatory, having exposure to these industries can be beneficial for this role.
What tools will I use for data visualization?You will primarily use Power BI, but proficiency with other visualization tools is a plus.
