Statistician - Data Science Business Unit

Role: Statistician

Business Unit: Data Science

Role Summary:

- Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.

Responsibilities: 

- Develop and test experimental designs, sampling techniques, and analytical methods.

- Develop software applications or programming to use for statistical modeling and graphic analysis.

- Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.

- Present statistical and non-statistical results using charts, bullets, and graphs in meetings or conferences to audiences such as clients, peers, and students.

- Process large amounts of data for statistical modeling and graphic analysis, using computers.

- Supervise and provide instructions for workers collecting and tabulating data.

- Report results of statistical analyses in peer-reviewed papers and technical manuals.

Skills:

- Ability to adapt statistical methods to solve specific problems in EdTech

- Experience in analyzing and interpreting statistical data to identify significant differences in relationships among sources of information

- Evaluation of sources of information to determine any limitations in terms of reliability or usability.

- Evaluation the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.

- Identify relationships and trends in data, as well as any factors that could affect the results of research.

- Planning data collection methods for specific projects and determine the types and sizes of sample groups to be used.

- Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.

- Report results of statistical analyses, including information in the form of graphs, charts, and tables.

- Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.

Qualification:

Specialization in the fields such as

- Learning analytics

- Educational data mining

- Agricultural statistics

- Business statistics

- Economic statistics.

- Includes mathematical and survey statisticians.

Experience:

- Minimum 2 -3 years of experience as a statistician

- Masters in Statistics or Economics / Mathematics with Statistics and sub specialization