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| $106k - $165k | ||||
| $106k - $165k | ||||
| $106k - $165k | ||||
| $106k - $165k | ||||
| $106k - $165k | ||||
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Data Scientist
Responsibilities
- Oversee complex research projects from ideation through implementation, including proof of concept and putting models into production with the software development team
- Apply mathematics and technical concepts to solve real-world problems in diverse areas, such as finance/DeFi, gaming, token economics, and blockchain
- Work with cross-functional teams, including research scientists, product managers, and engineers to contribute to software and data platforms
- Collaborate with fellow researchers to design data models and analytical frameworks
- Provide clean, reliable data for analysis, model inputs, and results analysis
- Implement data validation and quality assurance processes to ensure data integrity
- Apply industry expertise to derive insights and interpret from complicated datasets, such as financial transaction and in-game transactions
- Create systems for testing models and algorithms using simulation frameworks and mathematical models
- Develop and implement advanced algorithms for various applications, including probabilistic modeling, real-time data processing and rendering, and mathematical proofs
- Meticulously document research, processes and results to facilitate knowledge sharing
Qualifications
- Degree in mathematics, computer science, economics, engineering, or a related field
- Over 10 years of experience applying mathematics and technical computing to solve real-world problems in diverse fields
- Knowledge of DeFi, traditional finance, Web3, or gaming sectors
- Proven track record of developing and implementing complex computational algorithms and models
- Strong understanding of data modeling, analytical frameworks, and/or simulation techniques
- Expertise in developing and implementing data validation and quality assurance processes
- Ability to collaborate effectively with cross-functional teams, including research scientists, product managers, and engineers
- Excellent documentation, communication, and technical writing skills
Benefits
- Competitive compensation package
- Health insurance
- Dental insurance
- Vision insurance
- 401k
- Unlimited vacation time
- 100% Remote
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.