Data Scientist

Responsibility

The common responsibilities for this position include designing and developing large language models and multimodal models for smart city scenarios, supporting project delivery and product exploration, building and maintaining code repositories and datasets, optimizing algorithm models for real-world applications, analyzing and solving problems, and demonstrating initiative and innovation. The role involves conducting research on AI technologies, developing AI platforms, performing OCR for KYC/AML, monitoring and fine-tuning RAG for Chatbot, conducting text summarization and signature verification, collaborating with IT on projects, and ensuring successful deployment of data models. Additional responsibilities include managing data pipelines, conducting root cause analysis and anomaly detection, creating innovative solutions using various algorithms, and delivering clear presentations of modeling results. The position also entails collaborating with cross-functional teams, translating client pain-points into actionable insights, and staying updated with evolving analytics concepts and data science platforms.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%