Professor of Practice in Data Science

Category

Central Government

Description

Qualification: Master's degree in Statistics, Master's degree in Bio-Statistics & Demography, Computer Science, Data Science, Artificial Intelligence, or a related discipline, Professor of Practice in Survey Research:Master's degree in Statistics, and has made significant contributions in the area of Sampling Theory, Large Scale Survey Research and Data Analytics, Desired: M Phil or Ph.D., Experience in curriculum design of sampling theory and data analysis, Teaching Experience of Sampling designs for M. Phil-Ph.D. students, publications in the area of survey research and data analysis.. Professor of Practice in Data Science:Master's degree in Statistics, Bio-Statistics & Demography, Computer Science, Data Science, Artificial Intelligence, or a related discipline, Distinguished professional / industry expert in the field of AI, Machine Learning, Data Science, or related domains, Desired: PhD or Master's degree in AI/ML/Data Science, publications in the area of AI/ML/Data Science, Experience delivering corporate training, workshops, hackathons, or bootcamps, Certifications: Google Cloud ML, AWS Machine Learning, TensorFlow Developer, Azure AI Engineer, Power BI.. Candidates must possess a Master's degree in Statistics, Bio-Statistics & Demography, Computer Science, Data Science, Artificial Intelligence, or a related discipline, with specific requirements for each specialization.. Streams: Ph.D, Graduate, Computer Science, Statistics.

Required Skills

Eligibility Text