高级数据科学分析师

该职位来源于猎聘 Position Objective Execute overall AI product strategy, vision, roadmap, and management of the product team. Ensures the developed products and features align with business objectives and customer needs and meet target adoption.Work with tech team and local stakeholders to define product roadmaps and prioritize features.

Roles And Responsibilities

• Engage business leaders to discuss the business benefits that ML and AI can provide. Develop AI and ML models and algorithms to solve business problems
• Create and manage use cases to apply ML and AI concepts
• Monitor document ingestion pipeline, involve business to do

Education & Experience

• Master’s degree or higher in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related discipline.
• 3–5 years of hands-on experience developing predictive and descriptive models; Global company/project work experience is preferred.
• Bilingual in Chinese and English (high fluency). Cantonese is added advantage.
• Proven track record in AI-related projects is required, with a focus on NLP and LLM.
• Ability to fine-tune RAG prompts.
• Ability to program and review code in Python is highly desirable
• Proficiency in Python programming and code review is highly desirable.
• Familiarity with insurance and financial services is a plus.
• Exceptional communication skills and the ability to collaborate effectively in a fast-paced, dynamic environment. trouble shooting
• Triage different doc ops process to make sure the on-going solution accuracy
• Address negative feedback cases and provide tech solution to mitigate
• Chunking tech and metadata fine tune if need to handle new structure of document
• Prompt fine tunning: RAG fine tune from the user feedback according to the existing query scope, execute the fine tuning (for example, enhance the intent classifier)
• Solution performance monitoring, alert the performance downgrade and provide improvement suggestion on LLM design, execute the fine tuning
• RAG fine tune, based on the continuous new golden test cases from business and pass to QA team to add into test scope
• Document best practices and solution frameworks. Replicate and scale solutions to markets with common/similar business needs
• Support SIT, UAT on communication with business team
• Support release process