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.

The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles — don’t miss your chance to be part of it.