Senior Data Scientist

Responsibility

The common responsibilities for this position include leading and managing data science projects from conceptualization to completion, analyzing data and formulating data science models to solve business problems, developing generative AI applications to automate business processes, collaborating with cross-functional teams to identify opportunities for AI applications, presenting findings and insights to stakeholders, monitoring and maintaining model quality, and staying updated with the latest advancements in AI and data science. Additionally, responsibilities encompass providing business analysis based on data analytics and visualization tools, planning and implementing the company's data strategy, reviewing analytics issues, researching machine-learning models, delivering data services, leading implementation of data capabilities, and performing ad-hoc projects. The role also involves developing and optimizing machine learning algorithms, conducting quantitative analyses, and collaborating with teams to integrate data-driven solutions into products and services.

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%