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 ProgramLunch and Learn SeriesTeam based work environmentFormal evaluation process with real time feedbackNetworking and social opportunitiesMeaningful assignments with a final presentationQorvo’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 SparkDevelop, construct, test, and maintain data engineering pipelines using Spark on AWS to unify data from multiple sources in support of diagnostic, predictive, and prescriptive modelingImplement code control and revision using CI/CD data pipelines in GitlabMaintaining a production grade code base with clear documentation and testingAnalyze data to optimize process and product performance, increase yields, and reduce costsCollaborate with engineers, developers, and data scientists to establish and refine requirements for data and analyticsQualifications:Currently pursuing a BS, MS or PhD in Computer Science or relevant degree (Graduate degree preferred)Minimum 3.0 GPAProficiency with PythonProficiency with Microsoft Office (Excel, Word, PowerPoint)Experience with Git, SQLExperience with common Data Science libraries in Python (pandas, sklearn, pytorch, keras, matplotlib or similar)Understanding of Apache SparkHigh curiosity and a passion for dataSelf-Starter with strong written and verbal communication skillsStrong organization skills and attention to detailThis position is not eligible for Visa sponsorship by the company.

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