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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Asia |
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Binance | Mumbai, India |
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Binance | Toronto, Canada |
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Binance | Dubai, United Arab Emirates |
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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Mastercard | New York, NY, United States | $69k - $107k | |||
Fireblocks | Tel Aviv, Israel | $75k - $100k | |||
Binanance | Toronto, Canada |
| |||
Resource Informatics Group, Inc | United States | $72k - $148k | |||
Merkle Science | New York, NY, United States | $90k - $100k | |||
Blockscope | Remote | $80k - $150k | |||
Ava Labs | New York, NY, United States | $151k - $208k | |||
Presto | Shanghai, China | $77k - $115k | |||
Blocknative | United States | $84k - $100k | |||
Horizon Blockchain Games | Toronto, Canada | $81k - $100k | |||
Merkle Science | Bangalore, India | $81k - $168k |
Research Data Analyst
Asia /
Data & Research – Research /
Full-time Onsite or Remote
/ Hybrid
Apply for this job
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
Responsibilities
- Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments
- Analyze and interpret large (PB-scale) volumes of on-chain transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
- Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives
- Processing confidential data and information according to guildelines
- Managing and designing the reporting environment, including data sources, security, and metadata
- Troubleshooting the reporting database environment and reports
Requirements
- 3+ year experience; Bachelor’s degree from an accredited university or college in Computer Science or Math or Statistics
- Have strong passion for web3 data and have knowledge of different crypto sectors and familiar with the top players' mechanism of each of sectors. Strong analytical thinking and communication skills
- Proficient in data engineering, modeling and ETL - preferred experience with data sourcing and working with APIs
- Experience with data querying using languages such as SQL, GraphQL, Python Experience in using tools such as Dune analytics, Nansen etc
- Understand project smart contract and has good knowledge of the Web 3.0 infrastructure landscape
- Understanding of addressing and metadata standards
- High-level written and verbal communication skills
Working at Binance
• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry
• Fast moving, challenging and unique business problems
• International work environment and flat organisation
• Great career development opportunities in a growing company
• Possibility for relocation and international transfers mid-career
• Competitive salary
• Flexible working hours, Casual work attire
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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.