| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
| |||
Binance | Taipei, Taiwan |
| |||
Zora | Remote | $103k - $120k | |||
Whatnot | London, United Kingdom | $126k - $165k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Whatnot | San Francisco, CA, United States | $180k - $275k | |||
Binance | Singapore, Singapore |
| |||
Coinbase | Remote | $175k - $237k | |||
Kraken | United States | $91k - $150k | |||
Figment | Canada | $115k - $145k | |||
Binance | Taipei, Taiwan |
| |||
Binance | Singapore, Singapore |
| |||
Bitmex | Hong Kong, Hong Kong | $94k - $156k | |||
Kraken | United States | $36k - $54k | |||
Bitpanda | Barcelona, Spain | $91k - $99k | |||
Creative Catalyst | Remote | $79k - $100k |
Binance Accelerator Program - Data Analyst (Data Product)
Responsibilities:
- Analyze crypto user behaviors to develop product strategies aimed at increasing trading conversions.
- Conduct user interviews, gather and analyze user feedback and incorporate insights into product requirement documentations
- Collaborate with product managers to identify opportunities for AI-driven improvements.
- Monitor product performance and user engagement, using data to inform ongoing improvements and iterations.
Requirements:
- Undergraduate with strong business data analysis skills (e.g., data/business analytics programs).
- Proficient in SQL for data analysis.
- Experienced in using GPT, AI assistant and crypto/stock trading products.
- Proactive, self-motivated, and eager to learn and contribute to innovative AI projects.
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.