| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Toronto, Canada |
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Binance | Vancouver, Canada |
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Binance | Vancouver, Canada |
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Binance | Vancouver, Canada |
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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 | |||
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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Mastercard | New York, NY, United States | $69k - $107k | |||
Fireblocks | Tel Aviv, Israel | $75k - $100k | |||
Binanance | Toronto, Canada |
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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 |
This job is closed
Responsibilities
- Identify potential business opportunities within your area and scope/design approaches to capture those opportunities
- Facilitate data driven decision making across the company
- Automate data and reporting related tasks that facilitate smooth business operations
- Proactively work with stakeholders to define analytical approach and construct use cases
- Derive recommendations from value driven analysis resulting in significant impact on the business performance
- Retrieve data from various internal and external sources to conduct regular deep dive analysis and influence business decisions
- Build machine learning prototypes to solve challenging business problems where needed
Requirements
- 4+ years of experience in Data Science/Analytics
- Excellent communication skills in verbal and written English
- Previous experience in a fast growing tech company
- Fluency with SQL and high level of expertise with R/Python
- Fluent in AB tests
- Experience managing multiple competing priorities and projects in a fast-paced environment
- Solid understanding of Statistics and Machine Learning
- Experience in Machine Learning is a plus
- Strong communication & data presentation skills
- Strong work ethic and initiative
- Proactivity and autonomy
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.