Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Senior Data Scientist to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject experts to build and enhance data intelligence applications.
•Leverage data across departments and from multiple sources to discover core intelligence about customers, and products, etc. •Help identify business opportunities and provide actionable insights through analysis or models.
•Collaborate with teams across Winbond to identify opportunities in productivity enhancement, to propose and implement solutions.
•Collaborate with Data Engineers, domain experts, and users to build enterprise data platform.
•Proactively learn state-of-art of data science, technology and best practice. Share and promote critical mindset, concepts, knowledge, tools across Winbond.
•Explore and enable AI technologies in the various domains such as electronic circuit design.
•Passion for finding insights in data and driving changes based on those insights.
•Passion for understanding new domain knowledge, learning new skills, and experimenting new practices.
•Strong analytical skills. Ability to quickly grasp new concepts and identify problems.
•Strong working knowledge in one or more following areas: machine learning, data mining, time-series analysis/modeling, optimization algorithms, re-enforcement learning, NLP, statistics.
•Strong working knowledge of programming languages, such as SQL, R, Python, and java.
•Knowledge or experience in IC circuit design, IC compiler flow, IC testing and analysis, semiconductor fabrication, or memory IC development (DRAM, Flash, etc.), is a plus.
•Experience in BI tools (Tableau, JMP, PowerBI, Spotfire, etc.) is a plus.
•Excellent project management, communication, and leadership skills including producing quality deliverables under tight deadlines.
•Great interpersonal skills and ability to work in a collaborative environment and cross-functionally.