Data Scientist

Responsibility

The common responsibilities for this position include conducting research on AI and data science technologies applicable to business cases; engaging in end-to-end development processes of data science products and large language models; collaborating with engineers to implement and improve data science products; designing and implementing embedding strategies for generative AI model performance; developing applications using frameworks like LangChain and LangGraph; creating and maintaining optimized prompt libraries; overseeing data tagging processes for model training; supporting the development of various AI/ML models; conducting in-depth analyses using advanced analytics and big data technologies; collaborating with departments to identify business opportunities; delivering high-quality analytics to stakeholders; and ensuring compliance with regulatory requirements. Additionally, responsibilities include designing, building, and fine-tuning machine learning models, managing model training and deployment pipelines, and continuously optimizing AI product performance.

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%