Scientific > Statistician
Salary National Average
| Low | Medium | High |
|---|---|---|
| 67280.0000 | 85790.0000 | 115740.0000 |
Supply and Demand
Candidate Supply: 1,828 Job Openings: 320
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Short Description:
A Statistician is a professional who specializes in collecting, analyzing, and interpreting data to extract meaningful insights and support data-driven decision-making. Statisticians play a crucial role in diverse industries, including healthcare, finance, marketing, and research, by designing experiments, conducting surveys, and applying statistical methods to solve complex problems.
Duties / Responsibilities:
- Design and conduct experiments, surveys, and data collection procedures to gather relevant data.
- Analyze data using statistical software and techniques, identifying patterns, trends, and relationships.
- Interpret and present data findings, often through reports, visualizations, or presentations.
- Develop and implement statistical models to make predictions or inform decisions.
- Collaborate with researchers, analysts, and stakeholders to address specific research questions or business objectives.
- Ensure data quality, accuracy, and consistency throughout the analysis process.
- Provide statistical consultation and expertise to support research or business projects.
- Stay updated with the latest statistical methods, tools, and best practices.
- Address ethical considerations and privacy concerns when handling sensitive data.
- Communicate statistical results and insights to non-technical stakeholders.
Skills / Requirements / Qualifications
- Education: Bachelor's, master's, or Ph.D. in statistics, mathematics, or a related field.
- Programming: Proficiency in statistical software and programming languages, such as R or Python.
- Statisical Methods: Strong knowledge of statistical methods, including hypothesis testing, regression analysis, and data mining.
- Analytical: Analytical and critical thinking skills for interpreting complex data.
- Communication: Excellent communication and presentation skills for reporting and sharing statistical insights.
- Attention to Detail: Attention to detail and the ability to work with large datasets.
- Industry Knowledge: Familiarity with industry-specific data and research questions, depending on the sector of employment.
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