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
Qualifications :
Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics or a related fieldBasic knowledge of programming languages such as Python or RPrior experience with SQL and data visualization tools (e.g., PowerBi, DataBricks, Spotfire) is a plusFamiliarity with data analysis libraries (e.g., pandas, NumPy, scikit-learn)Understanding of statistical concepts and machine learning fundamentalsStrong problem-solving skills and attention to detailGood communication skills and ability to work collaboratively in a team environmentThis position is not eligible for visa sponsorship by the Company.
Competitive hourly pay commensurate with experience : $25 / hr - $34 / hr (subject to change dependent on physical location)
Posted salary ranges are made in good faith. Qorvo reserves the right to adjust ranges depending on the experience / qualification of the selected candidate as well as external competitiveness and internal comparability.
Base compensation is one element of Total Rewards offered at Qorvo. More information on the Total Rewards package can be shared upon request.