| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
| |||
Coinbase | Remote | $126k - $127k | |||
Coinbase | Remote | $140k - $165k | |||
Coinbase | Remote | $185k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Unlimit | Gurgaon, India | $87k - $103k | |||
Ionicpartners | United States | $72k - $90k | |||
Nansen.ai | London, United Kingdom | $126k - $127k | |||
Sahara AI | San Francisco, CA, United States | $32k - $86k | |||
Referrals Only Board | Remote | $126k - $127k | |||
Coinbase | United States | $180k - $212k | |||
AKASA | Remote | $175k - $230k | |||
Figure | San Francisco, CA, United States | $63k - $75k | |||
Aptos | Palo Alto, CA, United States | $160k - $260k | |||
Foundry | New York, NY, United States | $100k - $200k | |||
OP3N WORLD | Los Angeles, CA, United States | $21k - $64k |
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
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.