Statistics Researcher
とうけいがくけんきゅうしゃ
Industry & Occupation
Classification
- Major : Research and Technical Occupations
- Middle : Researchers
- Minor : Natural Science Researchers
Summary
Statistics researchers analyze data using probability theory and statistical methods to elucidate phenomena and make predictions.
Description
Statistics researchers deepen theories such as probability theory, inferential statistics, regression analysis, and multivariate analysis, while developing and improving experimental design methods and statistical models. At universities, public research institutions, and corporate research labs, they analyze data from a wide range of fields including medicine, biology, economics, and social sciences, and publish results as academic papers or reports. They use programming languages and statistical software such as R, Python, SPSS, SAS, and MATLAB to process large-scale data and conduct simulations. They collaborate with interdisciplinary teams to support data-driven decision-making.
Future Outlook
With the expansion of big data and AI utilization, the demand for specialized statistical analysis will continue to increase. Opportunities for active involvement will expand in interdisciplinary fusion research and industrial applications.
Personality Traits
Curious and inquisitive / Good at logical thinking / Meticulous and accurate / Patient
Work Style
Consulting Firms / Corporate Research Labs / Government Agencies / Remote / University Research Institutions
Career Path
Graduate Student (Master's/PhD) → Postdoctor → Assistant Professor/Lecturer → Associate Professor/Professor → Corporate/Public Institution Researcher
Required Skills
Design of Experiments / Probability and Statistics / Programming Languages / Statistical Analysis / Statistical Modeling
Recommended Skills
Big Data Processing / Databases (SQL) / Machine Learning / Reading English Papers
Aptitudes (Strengths Preferred)
| Item | Description |
|---|---|
| Analytical & Logical Thinking | Logical thinking is essential for data analysis and model building. |
| Attention to Detail & Accuracy | Because the accuracy of data processing affects the reliability of results. |
| Learning Agility & Knowledge Acquisition | Need to continuously learn new methods and software. |
| Numerical & Quantitative Analysis | Necessary for understanding and building advanced mathematical models. |
| Problem Solving | The ability to solve complex statistical problems is required. |
Aptitudes (Weaknesses Acceptable)
| Item | Description |
|---|---|
| Physical Stamina & Endurance | Mainly desk work, with low physical load. |
Related Qualifications
- Statistics Certification Level 2
- Statistics Certification Pre-Level 1
Aliases
- Statistics Analyst
- Statistics Researcher
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