Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Work on a project-based assignment focused on developing Spotfire analysis prototypes using data available in Redshift, with the goal of creating AI-assisted prediction models for selected products and/or factory KPIs
Support the development of the lights-out department's measurement tools by leveraging parameter big data modeling to enable predictive, prescriptive, and diagnostic analytics.
Assist in collecting, cleaning, and preprocessing large datasets to ensure accuracy and consistency for analysis
Support the development and testing of machine learning models under the guidance of senior data scientists.
Help create and maintain dashboards and visualizations in Spotfire to effectively communicate results to stakeholders.
Document analysis processes, methodologies, and findings to ensure knowledge sharing within the team
Research and present emerging data science tools, techniques, and best practices that could improve current systems
Collaborate with cross-functional teams, including engineers and operations, to translate business needs into analytical solutions
REQUIRED:
Pursuing a bachelor's in Software Engineering, Computer Engineering/Science, Data science, Digital Engineering, Robotics and Artificial Intelligence Engineering or a related field
Internship student in the cooperative education program (CWIE) is required to have an internship period of at least 4-6 months
SKILLS:
Experience in machine learning & AI project
Skills in SQL, Python, and R for custom analysis and data visualization