Data Scientist

Responsibility

The common responsibilities for this position include developing analytical use cases, collaborating with stakeholders to build data science solutions, translating business questions into quantitative problems, analyzing and interpreting complex data, providing advanced analytics support, developing and validating predictive models, presenting findings to business users, directing analytics projects, ensuring compliance with policies, supporting Data & Analytics colleagues, and communicating results to stakeholders. The role also involves conducting data mining, designing and implementing machine learning models, monitoring data science product performance, fostering a data-driven decision-making culture, and sharing knowledge within the data science community. Additionally, responsibilities include creating data visualizations and dashboards, collaborating with IT for model productionalization, and leading implementation of data capabilities.

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%