| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Token Metrics | Manila, Philippines | $76k - $108k | |||
Token Metrics | Karachi, Pakistan | $76k - $108k | |||
Token Metrics | Istanbul, Turkey | $76k - $108k | |||
Token Metrics | Islamabad, Pakistan | $76k - $108k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Token Metrics | Ho Chi Minh | $76k - $108k | |||
Token Metrics | Hanoi, Vietnam | $76k - $108k | |||
Token Metrics | Remote | $76k - $108k | |||
Token Metrics | Tirana, Albania | $76k - $108k | |||
Token Metrics | Ho Chi Minh | $112k - $156k | |||
Token Metrics | Islamabad, Pakistan | $112k - $156k | |||
Token Metrics | Lagos, Nigeria | $112k - $156k | |||
Token Metrics | Remote | $112k - $156k | |||
Token Metrics | Hyderabad, India | $112k - $156k | |||
Token Metrics | Athens, Greece | $112k - $156k | |||
Token Metrics | Remote | $112k - $156k |
Crypto Data Scientist (Manila-Remote)
Responsibilities
- Consulting with the manager to determine and refine machine learning objectives.
- Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Ensuring that algorithms generate accurate user recommendations.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
Requirements
- Bachelor's degree in computer science, data science, mathematics, or a related field.
- Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
- At least two years' experience as a machine learning engineer.
- Advanced proficiency with Python, Java, and R code.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
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.