Data Scientist - Singapore

Data Scientist – Quantitative & NLP Focus

📍 Remote | Singapore

🕒 Full-Time | Mid to Senior Level

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

Requirements:

• 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)

Why Binance:

• 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