Lead LLM-focused data science work: analyze large datasets, build statistical models, design and deploy LLM/agentic applications, perform prompt engineering and model fine-tuning (RAG), and collaborate with global teams to deliver AI-driven business solutions.
Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.
Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.
If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.
Responsibilities
- 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 global business and technical teams to gather and analyze requirements, delivering AI and data-driven solutions aligned with strategic objectives.
Requirements
- 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.
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