A blockchain data scientist is a professional who specializes in analyzing and interpreting data related to blockchain technology. They use their expertise to extract valuable insights and make informed decisions based on the data.

As for the features/advantages of a blockchain data scientist, here are 15:

1. Deep understanding of blockchain technology and its underlying principles.

2. Proficiency in data analysis and statistical modeling.

3. Ability to work with large datasets and extract meaningful patterns.

4. Expertise in programming languages commonly used in blockchain development, such as Solidity or Python.

5. Knowledge of cryptography and encryption techniques.

6. Familiarity with smart contracts and decentralized applications (DApps).

7. Strong problem-solving skills to address complex challenges in the blockchain space.

8. Ability to identify potential security vulnerabilities and propose solutions.

9. Understanding of consensus mechanisms and their impact on blockchain networks.

10. Knowledge of different blockchain platforms and their specific features.

11. Proficiency in data visualization to effectively communicate insights.

12. Ability to collaborate with cross-functional teams, including developers and business stakeholders.

13. Strong communication skills to explain complex concepts to non-technical individuals.

14. Continuous learning mindset to keep up with the evolving blockchain landscape.

15. Ethical approach to handling sensitive data and ensuring privacy.