Qorvo-posted about 1 month ago
$25 - $34/Yr
Intern
Greensboro, NC
5,001-10,000 employees

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.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: Challenging, skill-building assignments Mentoring and coaching from industry experts Launch & Learns and other learning opportunities Collaborative team-based work environment Networking and social events Final presentation to business leaders Qorvo’s Data Analytics Internships are offered in our High Performance Analog, Advanced Cellular, and Connectivity and Sensors business groups. Specific projects and responsibilities will be determined based on the business needs at the time of the internship assignment.

  • Assist in collecting, cleaning, and preprocessing large datasets from various sources
  • Perform exploratory data analysis to identify trends, patterns, and insights
  • Support the development and validation of predictive models and machine learning algorithms
  • Collaborate with cross-functional teams to understand data needs and deliver actionable insights
  • Create clear visualizations and reports to communicate findings effectively
  • Document methodologies and maintain data pipelines and workflows
  • Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics or a related field
  • Basic knowledge of programming languages such as Python or R
  • Understanding of statistical concepts and machine learning fundamentals
  • Strong problem-solving skills and attention to detail
  • Good communication skills and ability to work collaboratively in a team environment
  • Prior experience with SQL and data visualization tools (e.g., PowerBi, DataBricks, Spotfire)
  • Familiarity with data analysis libraries (e.g., pandas, NumPy, scikit-learn)
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