Data Scientist

Responsibility

The common responsibilities for this position include leading data scientist team members in developing insights and advanced modeling techniques, executing analytical experiments to solve problems, and establishing actionable KPIs and success metrics. Responsibilities also involve leveraging data science tools to analyze large datasets, devising algorithms for big data mining, and performing data validation for accuracy. Collaborating with IT for effective data resource access, supporting the integration of new datasets, and assisting non-technical departments in understanding data science benefits are essential tasks. Additionally, the role requires communicating analytic solutions to stakeholders, delivering high-quality analytics to drive business transformation, and designing, developing, and deploying models from MVP to production. Conducting exploratory data analysis, creating visualizations, and ensuring the integrity of data through cleansing and processing are also key duties. Finally, the position includes monitoring model performance in production and initiating improvements to sustain business value.

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%