Senior Data Scientist

Responsibility

The common responsibilities for this position include leading and managing data science projects from conceptualization to completion, analyzing data and formulating data science models to solve business problems, developing generative AI applications to automate processes and enhance customer experience, collaborating with cross-functional teams to identify opportunities for AI applications, presenting findings and insights to stakeholders, monitoring and maintaining model quality, and staying up-to-date with advancements in AI and data science. Additionally, the role involves conducting data curation and alignment for Large Language Models (LLM), developing Proof of Concepts, formulating hypotheses, and improving model latency through techniques such as pruning, quantization, and knowledge distillation.

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%