Data Scientist
Taiwan, Taipei
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.NVIDIA Diag Team is now seeking an extraordinary Data Scientist to 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+ years of 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-intermediate oral 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's important 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
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Classification Computer Science Data analysis Data Analytics Deep Learning Engineering GPU Linux Machine Learning Matplotlib ML models NLP NumPy Pandas Pipelines Python PyTorch R Scikit-learn SciPy Statistics Testing Transformers
Perks/benefits: Career development
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