Data Science Jobs in Web3
1,388 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
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Crypto.com | Taipei, Taiwan | $122k - $123k | |||
Chaoslabs | New York, NY, United States | $107k - $123k | |||
Fireblocks | Get a Fireblocks Platform Demo | $76k - $100k | |||
Zap | New York, NY, United States | $98k - $109k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Whatnot | Remote | $77k - $112k | |||
Uniswaplabs | Remote | $196k - $217k | |||
Nethermind | London, United Kingdom | $27k - $63k | |||
Chaoslabs | New York, NY, United States | $107k - $123k | |||
Gate.io | APAC | $126k - $175k | |||
Paradextrade | Remote | $88k - $102k | |||
P2P. org | Remote |
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Dvtrading | Remote | $100k - $150k | |||
Zora | Remote | $54k - $100k | |||
Coinbase | Remote | $130k - $154k | |||
Fabric of Truth, Inc | Belgium | $84k - $164k |
Senior Python Data Engineer (Financial Technology)
Requirements:
- Python - Must be adept at scripting in Python
- SQL - Techniques for querying, transformation, and performance optimisation
- Apache Airflow - Experience working with DAGs in Airflow or a similar tool.
- GitHub - Experience with version control, branching, and collaboration on GitHub.
- Collaboration - Ability to work with stakeholders to translate business requirements into technical solutions.
- Communication - Spoken english
- Familiarity with Docker, Kubernetes, AWS/cloud platforms, and unit testing
- Bonus Experience: Elixir, Cloudera Data Warehouse, AWS Athena/Tableau
Responsibilities:
- Design and refactor Directed Acyclic Graphs (DAGs) with Python and Apache Airflow to enhance data for financial reporting requirements.
- Maintain internal tooling used for managing sensitive company data.
- Work closely with Data Science, Data Warehouse, Exchange, Backend, and Finance teams to align on data requirements and deliverables.
- Maintain clear and comprehensive documentation of processes to facilitate smooth team collaboration and hand-offs.
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.