Data Scientist

Responsibility

The common responsibilities for this position include designing, developing, and refining machine learning models to solve real-world problems using structured and unstructured data. Collaborating with business stakeholders to identify and prioritize machine learning use cases is essential, along with translating data science outputs into actionable business insights. The role involves tracking and optimizing AI products, leading data science team members, and executing analytical experiments to impact business units. Establishing actionable KPIs, leveraging data science tools for large dataset analysis, and cleaning and validating data for accuracy are key tasks. Additional responsibilities include collaborating with IT for effective access to computing resources, supporting the integration of new datasets, and communicating analytic solutions to stakeholders. Conducting exploratory data analysis, building predictive models, and developing data pipelines are also crucial. The position requires delivering high-quality insights to drive business transformation and ensuring model performance in production through continuous monitoring and improvement.

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%