Data Scientist

Responsibility

The common responsibilities for this position include building machine learning and AI prediction models using biomedical data, utilizing NLP for medical reports, and developing software and web-based applications for prediction models. The role involves designing and implementing recommendation systems, developing and managing data pipelines, and automating end-to-end machine learning workflows. Additionally, responsibilities include performing consumer and merchant analysis using advanced ML algorithms, conducting root cause analysis and anomaly detection, and collaborating with cross-functional teams to deliver innovative solutions. The position also requires maintaining documentation of AI models, ensuring data uniformity and accuracy, and presenting impactful findings through data visualizations. Other tasks include developing clean and reusable code, optimizing algorithms for real-world applications, and researching advanced big data analysis techniques.

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%