
Data Scientist
2 days ago
About the Role:
This is a high-impact data science role that blends quantitative research , machine learning , and natural language understanding (NLU) to uncover trading signals from financial news and social media. You'll be building models that directly influence Binance's trading strategies.
Key Responsibilities:- Develop trading models using sentiment analysis , intent detection , and named entity recognition on text data
- Apply machine learning to large datasets to identify predictive signals
- Use statistical and time-series techniques to refine models
- Backtest strategies, optimize performance, and manage risk
- Bachelor's or Master's in CS, Stats, Math, or Financial Engineering
- Solid knowledge of NLU/NLP (e.g., sentiment, intent, NER)
- Strong coding skills in Python or R
- Experience with NLP libraries : SpaCy, NLTK, Hugging Face Transformers
- Skilled in ML frameworks : Scikit-learn, TensorFlow, or PyTorch
- Strong in probability, linear algebra, and time-series analysis
- Proficiency in Mandarin (for cross-team collaboration with Chinese-speaking counterparts)
- Influence one of the most innovative sectors in global finance
- Collaborate with elite engineers, data scientists, and researchers
- Work remotely with autonomy in a flat, fast-paced environment
- Competitive pay, benefits, and upskilling opportunities
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