Data Scientist

Responsibility

The common responsibilities for this position include conducting research on AI/DS technology applications in business cases, engaging in end-to-end development processes of data science/AI products, collaborating with engineers to implement and improve data science products, and delivering clear presentations of modeling results to stakeholders. The role involves developing and enhancing machine learning and AI algorithms, conducting data analysis and visualization, and building and evaluating data modeling and machine learning systems. Responsibilities also encompass transforming machine learning models into APIs, conducting statistical analysis for decision-making, and ensuring adherence to processes while contributing to their improvement. Additionally, the Data Scientist will study AI technology trends, propose technical solutions, define technical development roadmaps, and lead project teams to execute R&D tasks. They will also drive collaboration across teams for AI adoption, maintain stakeholder relationships, and manage ad hoc projects as assigned. Other duties include providing advanced analytics support, optimizing machine learning solutions, and monitoring data science 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%