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Permanent Faculty Position: Advanced Statistics/ Statistics 1/ Statistics 2
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#795742
Remote / WFH
Indian School of Business and Finance
Job Description
Location: Delhi NCR
Institution: Indian School of Business & Finance (ISBF)
Join ISBF and teach on globally recognised University of London degree programmes with academic direction from the London School of Economics and Political Science.
We are seeking permanent faculty members with strong expertise in Statistics and Advanced Statistics to teach one or more of the following subjects:
• Statistics 1
• Statistics 2
• Advanced Statistics: Distribution Theory & Advanced Statistics: Statistical Inference.
Essential Requirements
• Strong foundation in statistical theory, probability, and applied statistics
• Expertise in areas including:
• Probability and Probability Distributions
• Distribution Theory
• Sampling and Sampling Distributions
• Estimation and Confidence Intervals
• Hypothesis Testing
• Statistical Inference
• Correlation and Regression
• Statistical Data Analysis
• Ability to apply rigorous statistical methods to economic, business, and social science problems
• Proficiency in R, Python, Stata, SPSS, or equivalent statistical tools is desirable
• Excellent analytical, communication, and presentation skills
• Ability to contribute to teaching, curriculum development, student mentoring, and academic initiatives
Qualifications
• Master's degree in Statistics, Mathematics, Economics, Data Science, or a related discipline
• PhD in Statistics or a related field is highly desirable
• Prior teaching, research, or industry experience will be an added advantage
If you are passionate about rigorous statistical thinking and its application to real-world problems, we'd love to hear from you.
Interested candidates are invited to apply with their CV and a brief cover letter.
Report this listing
Institution: Indian School of Business & Finance (ISBF)
Join ISBF and teach on globally recognised University of London degree programmes with academic direction from the London School of Economics and Political Science.
We are seeking permanent faculty members with strong expertise in Statistics and Advanced Statistics to teach one or more of the following subjects:
• Statistics 1
• Statistics 2
• Advanced Statistics: Distribution Theory & Advanced Statistics: Statistical Inference.
Essential Requirements
• Strong foundation in statistical theory, probability, and applied statistics
• Expertise in areas including:
• Probability and Probability Distributions
• Distribution Theory
• Sampling and Sampling Distributions
• Estimation and Confidence Intervals
• Hypothesis Testing
• Statistical Inference
• Correlation and Regression
• Statistical Data Analysis
• Ability to apply rigorous statistical methods to economic, business, and social science problems
• Proficiency in R, Python, Stata, SPSS, or equivalent statistical tools is desirable
• Excellent analytical, communication, and presentation skills
• Ability to contribute to teaching, curriculum development, student mentoring, and academic initiatives
Qualifications
• Master's degree in Statistics, Mathematics, Economics, Data Science, or a related discipline
• PhD in Statistics or a related field is highly desirable
• Prior teaching, research, or industry experience will be an added advantage
If you are passionate about rigorous statistical thinking and its application to real-world problems, we'd love to hear from you.
Interested candidates are invited to apply with their CV and a brief cover letter.
Report this listing
