Senior Data Scientist

Responsibility

The common responsibilities for this position include designing and implementing advanced machine learning models and embedding strategies to optimize AI performance, developing applications using frameworks like LangChain and LangGraph, and creating and maintaining a library of optimized prompts. The role involves analyzing large datasets to extract actionable insights, collaborating with cross-functional teams to integrate AI solutions into existing systems, and supervising data tagging processes for model training. Additionally, the position requires mentoring junior team members, overseeing AI projects to ensure timely delivery and quality standards, and conducting research on emerging AI technologies. Responsibilities also encompass designing and implementing ETL/ELT pipelines, transforming complex data into actionable business insights, and ensuring adherence to best practices in model training and deployment.

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%