Data Scientist

Responsibility

The common responsibilities for this position include developing analytical solutions to address business challenges, performing consumer and merchant analysis using advanced machine learning algorithms, formulating a company-wide data strategy, supporting data democratization, creating algorithms and machine learning models on cloud data platforms, and conducting business performance analysis to identify opportunities and threats. Additionally, the role involves collaborating with software developers and machine learning engineers to deploy analytical models into production, utilizing data visualizations to present findings, gathering requirements, designing and architecting analytics solutions, developing and managing data pipelines, and ensuring data accuracy through cleaning and validation. Other responsibilities include translating business requirements into technical solutions, designing tools for managing infrastructure, automating end-to-end pipelines, and implementing real-time monitoring tools. The position also requires leading a data scientist team in developing insights and advanced modeling techniques, staying updated on advancements in data science and machine learning, and conducting research on applying AI technology in business cases.

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%