Data Scientist
でーたさいえんてぃすと
Industry & Occupation
Classification
- Major : Research and Technical Occupations
- Middle : Other Technical Occupations
- Minor : Technical Occupations Not Elsewhere Classified
Summary
A profession that analyzes large amounts of data using statistical analysis and machine learning to derive insights for solving business challenges.
Description
Data scientists collect, integrate, and preprocess diverse data, then use statistical analysis and machine learning models to extract valuable insights. They employ visualization tools and BI tools to communicate results clearly and collaborate with executives and business units to support initiative planning. Knowledge of cloud environments and large-scale data processing infrastructure is also required, with continuous learning of technologies and domain knowledge being essential.
Future Outlook
Demand is increasing with the spread of data-driven management and advancements in AI technology. There is a shortage of highly specialized talent, and market value is expected to continue rising.
Personality Traits
Curious and inquisitive / Excellent communication skills / Logical thinker / Patient
Work Style
Career Path
Junior Data Scientist → Data Scientist → Senior Data Scientist / Lead → Data Science Manager → Chief Data Officer (CDO)
Required Skills
Data Visualization / Machine Learning Frameworks / Programming (Python, R) / SQL / Statistical Analysis
Recommended Skills
BI Tools / Big Data Processing / Cloud Platforms / Industry Knowledge / Reading English Documentation
Aptitudes (Strengths Preferred)
| Item | Description |
|---|---|
| Analytical & Logical Thinking | Logical thinking to derive patterns from large amounts of data is essential. |
| Attention to Detail & Accuracy | High accuracy is required for data quality management and preprocessing. |
| Learning Agility & Knowledge Acquisition | It is important to continuously learn new algorithms and tools. |
| Numerical & Quantitative Analysis | Advanced mathematical abilities are required to handle statistics and mathematical models. |
| Problem Solving | Ability to solve business challenges through data analysis is necessary. |
Aptitudes (Weaknesses Acceptable)
| Item | Description |
|---|---|
| Physical Stamina & Endurance | Mainly desk work with low physical demands. |
Related Qualifications
- Applied Information Technology Engineer
- E Qualification
- G Test
- Statistics Certification Level 2 or Higher
Aliases
- Data Scientist
Related Jobs
- AI Engineer
- Data Analyst
- Machine Learning Engineer