Nvidia Data Scientist 

Taiwan, Taipei 

515958176

NVIDIA Diag Team is now seeking an extraordinaryData Scientistto solve challenges in the GPU server manufacturing process. As a team member, you will be designing a Machine Learning / Deep Learning platform for valuable internal and external products and systems. You will participate in Data Analysis and Reporting system development and communicating with internal and external customers.

What you'll be doing:

• Develop a high-performance and high-availability in-house real-time analytics system with other engineers from different teams

• We will also design and develop various ML pipelines and train and evaluate ML models

• Lead many DL/ML projects related to various NVIDIA products in GPU server areas

• Participate in the development of an automatic data cleanup and validation system owned by your team

• At the same time, you will communicate with external teams to help them in their Data Analytics projects

What we need to see:

• BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent) with 5+yearsof meaningful work experience

• Fully understand parallel computing on multi-threads and multi-processes

• You are expected to be fluent in DL/ML (Statistics, Fraud/Anomaly detection, A/B testing, etc) and Data Analytics

• Flawless understanding of Regression, Classification, Clusterization (transactional and real variables), and embedding methodologies, their pros/cons are very significant

• We expect to see excellent communication skills, ability to document and present the current status and final project deliveries

• Intermediate/upper-intermediateoral and written technical English

• Skills of working in an internationally distributed team

• Self-motivated, engaged, eager for self-education

Ways to stand out from the crowd:

• We appreciate additional programming skills in R, Python, C/C++as well as it'simportant to have basic Linux skills

• Experience in any of sklearn, scipy, numpy, pandas, matplotlib, pytorch, NLP, and searching/indexing

• Deep understanding of DL models development (Transformers, MLPs, Convolution) is valuable