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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronos Research | Taipei, Taiwan | $103k - $120k | |||
Heretic | San Francisco, CA, United States | $21k - $70k | |||
Hyphen Connect | United States | $72k - $100k | |||
OKX | Hong Kong, Hong Kong | $105k - $150k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Foundry | New York, NY, United States | $125k - $225k | |||
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Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Swan | Remote |
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Serotonin | Chicago, IL, United States | $90k - $110k | |||
Presto | South Korea | $94k - $100k | |||
Prime Intellect | United States | $76k - $90k | |||
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Foundry | New York, NY, United States | $100k - $140k | |||
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Kronos Research
$103k - $120k estimated
The individual in this role will be a part of a new Data Science team, which is focused on generating extensive research across the crypto market and blockchain. The ideal candidate has experience in large-scale data processing and understands the data science workflow. This opportunity will provide the right candidate an opportunity to have a large impact on the research direction and productivity of a newly formed effort within a successful proprietary trading firm.
Responsibilities:
- Data Sourcing: Identify high-quality and relevant data to support research objectives, then create corresponding tickets for the data team.
- Data Accessibility and Usability: Develop and maintain tools and platforms for better visualization and exploration capabilities for the research team.
- Identify Patterns and Trends: Apply statistical and ML techniques to analyze historical data, detecting patterns and trends for trading strategies and research teams.
- Research and Development: Stay updated on the latest advancements in data science and the crypto industry by monitoring research, industry reports, and attending relevant events.
- Benchmarking: Regularly evaluate and improve existing models by benchmarking their performance against state-of-the-art techniques.
- Performance Metrics: Developing metrics and dashboards to track the performance of trading strategies, individual symbols, and the overall portfolio (including PnL attribution).
Requirements:
- Minimum 5 years in data science field, 2 years in leadership roles
- Master’s degree in EE, CS, Physics, Mathematics or other relevant discipline
- Background in large-scale data processing and analysis
- Skilled in Python programming
- Familiar with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experienced in modeling and forecasting, especially time series analysis (e.g., NLP)
- Experienced in developing and articulating model architecture, strongly emphasizing code quality for effective system design.
- Crypto industry knowledge is helpful but not a requirement.
- Experience in finance and trading is beneficial but not required