Mathematical Statistics Researcher

とうけいすうりけんきゅうしゃ

Industry & Occupation

Science & Research

Classification

Summary

Research role that uses probability theory and statistical theory to analyze data for understanding data characteristics and supporting decision-making, constructing and evaluating mathematical models.

Description

Mathematical statistics researchers are specialists who develop and evaluate new analysis methods and models based on probability theory and statistical theory. They disseminate theoretical knowledge through academic papers and conference presentations, while also engaging in large-scale data analysis and algorithm implementation with industrial applications in mind. In universities, public research institutions, and corporate research departments, they conduct mathematical analysis using R, Python, and mathematical processing software, contributing to integration areas with machine learning and AI technologies.

Future Outlook

With the advancement of big data and AI, demand for mathematical statistics researchers will increase further. They are expected to support decision-making in data-driven societies and develop new analysis methods, with market value continuing to rise.

Personality Traits

Curious or has an inquiring mind / Likes logical thinking / Patient

Work Style

Conference Presentations / Flexitime / International Collaborative Research / Remote / University Research Institution Employment

Career Path

Completion of Graduate Master's or Doctoral Program → Postdoctoral Researcher → University Faculty (Assistant Professor, Associate Professor, Professor) → Public Research Institution Researcher → Corporate Researcher or Data Scientist

Required Skills

Big Data Processing / Programming (Python, R) / Statistical Analysis / Statistics / Symbolic Computation

Recommended Skills

C/C++ Programming (High-Performance Computing) / Data Visualization / Machine Learning / Reading and Writing English Papers

Aptitudes (Strengths Preferred)

Item Description
Analytical & Logical Thinking Necessary for analyzing and constructing complex data structures and mathematical models.
Attention to Detail & Accuracy Confirming minute differences and assumptions in statistical analysis is important.
Creativity & Ideation Creativity is required to develop new statistical models and analysis methods.
Learning Agility & Knowledge Acquisition Acquisition and updating of mathematical theories and methods are required.
Numerical & Quantitative Analysis Advanced mathematical and quantitative analytical skills are essential.
Problem Solving Ability to solve complex analysis problems is necessary.

Aptitudes (Weaknesses Acceptable)

Item Description
Physical Stamina & Endurance Mainly desk work, so physical stamina requirements are low.

Related Qualifications

  • Statistics Certification Level 1
  • Statistics Certification Level 2

Aliases

  • Mathematical Statistician
  • Statistics Researcher

Related Jobs

  • Data Scientist
  • Machine Learning Engineer
  • Operations Researcher
  • Risk Analyst

Tags

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