What are the responsibilities and job description for the Data Science Intern position at Amphenol Corporation?
Job Title: Data Science Intern
Location: Downer's Grove, IL
About the Role
We are seeking a highly motivated Data Science Intern to join our team and support initiatives focused on process improvement, data management, and digital tool optimization. This internship offers a unique opportunity to gain hands-on experience in applying data science principles to real-world business operations, with a focus on streamlining processes and supporting key systems such as ERP and CRM platforms.
Key Responsibilities
- Analyze existing workflows and identify opportunities to streamline processes using data-driven approaches.
- Assist in the development and deployment of tools or scripts that improve efficiency and accuracy in daily operations.
- Collaborate with cross-functional teams to gather, clean, and manage data relevant to business operations.
- Support the update and maintenance of ERP and CRM systems to ensure data accuracy and usability.
- Contribute insights and recommendations for improving data quality, integration, and usability across platforms.
- Document technical processes, tool usage, and data handling best practices for team knowledge sharing.
Required Qualifications
- Currently pursuing a degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
- Strong understanding of data management principles and familiarity with data cleaning and transformation.
- Experience with tools for process automation and reporting (e.g., Python, SQL, Excel, Power BI, or similar).
- Knowledge of ERP and CRM systems (e.g., SAP, Salesforce, NetSuite, HubSpot) is a plus.
- Strong analytical and problem-solving skills.
- Ability to communicate effectively with both technical and non-technical teams.
- Detail-oriented with strong organizational and documentation skills.
Preferred Skills
- Exposure to business process mapping or workflow automation tools.
- Experience with API integrations or data connectors for ERP/CRM platforms.
- Familiarity with agile or iterative project management methods.
What You’ll Gain
- Practical experience in applying data science to optimize business processes.
- Exposure to enterprise-level software systems and real-world data challenges.
- Mentorship and guidance from experienced data professionals.
- The opportunity to make meaningful contributions to impactful projects.
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