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 ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
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Binanceđź“Ť Asia |
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Data Scientist - Algorithm and Machine Learning (Abnormal Detection)
Responsibilities
- Responsible for the development and algorithm optimization of abnormal detection, root cause analysis and other functions of monitoring products
- Focus on cutting-edge technologies and trends in AiOps field to drive algorithm and product optimization
Requirements
- More than 5 years working experience
- Good foundation of program development, familiar with Python, Java, spark, Flink and other distributed computing platforms
- Expert in Time Series data processing algorithms is required, covering RNN, LSTM and DNN and other deep learning algorithms
- Strong experience in anomaly detection is required, such as identifying data patterns (periodicity, volatility, irregularity) and applying different algorithmic model detection for different data patterns
- Strong experience of monitoring and incident handling is required
- Experience in anomaly detection or root cause analysis related to monitoring products is preferred
- AiOps related experience is preferred
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.