Responsibilities & Qualifications - Data Analysis and Statistical Modeling: Extract valuable insights from large-scale datasets, apply data science methods for statistical analysis and modeling, and transform complex analytical results into clear, actionable visualizations and recommendations to support business decision-making, forecasting, and process optimization.

- AI-Driven Initiatives: Lead the design, development, and deployment of LLMs applications/agentic models, collaborating closely with business and technical teams to implement AI solutions that enhance team efficiency and capabilities.
- Prompt Engineering and Model Optimization: Utilize prompt engineering, model selection, hyperparameter tuning, model fine-tuning, data retrieval, and coding to develop key product features. Optimize LLM performance to ensure efficient application in business scenarios.
- Cross-Functional Collaboration: Work closely with integral business and technical teams to gather and analyze requirements,



delivering AI and data-driven solutions aligned with strategic objectives.
- Over 5 years of work experience in data analysis, data science, or related fields.
- Strong programming skills in Python/SQL; proficiency with AI/ML libraries (PyTorch, TensorFlow, Hugging Face).
- Deep understanding of LLMs with practical experience, proficient in using tools like Dify, n8n, or Coze to develop LLM agents.

Experience with RAG or model fine-tuning for planning-related tasks.

- Fluent in English and Chinese, capable of seamlessly switching languages in technical and business discussions.
- Exceptional independent analytical and problem-solving skills, with the ability to deeply understand business pain points and collaborate with technical teams to address complex challenges in LLM application and optimization.

📌 Senior Data Scientist / Analyst (AI/LLM) (Asia)
🏢 Binance
📍 Asia