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, and collaborating with cross-functional teams to identify AI opportunities. The role also involves presenting findings and insights to stakeholders, monitoring and maintaining model quality, staying updated with advancements in AI and data science, conducting data curation and alignment for Large Language Models (LLM), and developing Proof of Concepts to validate proposed AI solutions. Additionally, the Senior Data Scientist will be responsible for improving model latency through techniques such as pruning, quantization, and knowledge distillation, as well as mentoring team members and showcasing actionable insights from data mining techniques.

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%