Data Scientist

Responsibility

The common responsibilities for this position include developing and implementing AI algorithms for various applications, conducting data analysis and visualization, collaborating with cross-functional teams to gather and analyze data requirements, and designing and optimizing machine learning models. The role also involves researching state-of-the-art AI algorithms, enhancing existing tools, and contributing to the development of new features. Additionally, responsibilities include deploying end-to-end machine learning solutions, performing exploratory data analysis, and ensuring data quality through preprocessing and feature engineering. The position requires engaging with stakeholders to co-design implementation roadmaps and communicating analytical solutions effectively. Furthermore, the role encompasses driving AI solutions for operational enhancements, developing data visualization dashboards, and ensuring successful deployment of data models while staying informed about industry trends and emerging technologies.

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%