Skyworks Solutions
Data Analytics Intern
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
- Basic knowledge of programming languages such as Python or R
- Familiarity with data analysis libraries (e.g., pandas, NumPy, scikit-learn)
- 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
Nice to have
- Prior experience with SQL and data visualization tools (e.g., PowerBi, DataBricks, Spotfire) is a plus
Full description
Description
Skyworks' Internship Program is designed for college students currently enrolled in an accredited Bachelor’s, Master’s, or PhD program. Skyworks offers real work experience, exposure to upper management, and the opportunity to pursue full-time opportunities, as available.
Skyworks' 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
Skyworks' Data Analytics Internships are offered in our Advanced Cellular business groups. Specific projects and responsibilities will be determined based on the business needs at the time of the internship assignment.
This position is not eligible for visa sponsorship by the Company.
Responsibilities
- 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
Required Experience and Skills
- Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
- Basic knowledge of programming languages such as Python or R
- Familiarity with data analysis libraries (e.g., pandas, NumPy, scikit-learn)
- 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
Desired Experience and Skills
- Prior experience with SQL and data visualization tools (e.g., PowerBi, DataBricks, Spotfire) is a plus