Data Science Engineering Intern

Qorvo’s Internship Program is designed for college students currently enrolled in an accredited Bachelor’s, Master’s, or PhD program. Qorvo offers real work experience, exposure to upper management, and the opportunity to pursue full time opportunities, as available.

Qorvo’s Internship Program Offers

• Mentorship Program
• Lunch and Learn Series
• Team based work environment
• Formal evaluation process with real time feedback
• Networking and social opportunities
• Meaningful assignments with a final presentation
  
  

Qorvo’s Internships are offered in our High Performance Analog, Advanced Cellular, Connectivity and Sensors, and Global Operations business groups. Specific projects and responsibilities will be determined based on the business needs at the time of the internship assignment.

Responsibilities May Include

• Train, test, and deploy machine learning and AI models in Python on Spark
• Develop, construct, test, and maintain data engineering pipelines using Spark on AWS to unify data from multiple sources in support of diagnostic, predictive, and prescriptive modeling
• Implement code control and revision using CI/CD data pipelines in Gitlab
• Maintaining a production grade code base with clear documentation and testing
• Analyze data to optimize process and product performance, increase yields, and reduce costs
• Collaborate with engineers, developers, and data scientists to establish and refine requirements for data and analytics
  
  

Qualifications

• Currently pursuing a BS, MS or PhD in Computer Science or relevant degree (Graduate degree preferred)
• Minimum 3.0 GPA
• Proficiency with Python
• Proficiency with Microsoft Office (Excel, Word, PowerPoint)
• Experience with Git, SQL
• Experience with common Data Science libraries in Python (pandas, sklearn, pytorch, keras, matplotlib or similar)
• Understanding of Apache Spark
• High curiosity and a passion for data
• Self-Starter with strong written and verbal communication skills
• Strong organization skills and attention to detail
  
  

This position is not eligible for Visa sponsorship by the company.