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Binance Accelerator Programme - Data Scientist - Systems and Control
Responsibilities
- Employ a variety of data science techniques to assess and mitigate compliance risk.
- Analyze and interpret data to extract statistical insights that guide decision-making and operational improvements.
- Design, maintain, and deploy ETL/ELT pipelines to monitor transactional and KYC data.
- Develop and maintain dashboards to monitor the health of various compliance systems.
- Communicate insights and proposals clearly and confidently with senior stakeholders
Requirements
- Undergraduate or postgraduate background in business data analytics, computer science or a related field.
- Hands-on experience with SQL and Python, with a strong ability to build analytical dashboards.
- Excellent written and verbal communication skills in English to be able to coordinate with internal and external stakeholders.
- Capable of creating clear documentation and presentations.
- Strong sense of ownership, with a collaborative, hands-on approach to problem-solving.
- Ability to work effectively in cross-functional teams and adapt to a fast-paced, evolving environment.
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.