Assist Admissian with analyzing volumes of school, demographics and student data, measuring the performance of data-driven operations across the data pipeline, tracking vitals of data-driven operations, and more, using mathematical methodologies;Assist with creating statistical methods in order to solve specific school or business problems, as well as generate, produce and analyze important parameters or elements to propel the business using methodologies and theories in math and statistics to summarize numerical data and present findings to superior;Analyze and interpret statistical data in order to identify significant differences in relationships among sources of information to produce business information;Apply sampling technologies or utilize complete enumeration bases in order to determine and define groups to be surveyed.Design research projects that apply valid statistical techniques and utilize information obtained from data baselines or historical data in order to structure uncompromised and efficient analyses.Clean unstructured financial raw data (32K+rows), check quality of alternative internal and external data sources ADS and simplified testing model by reducing high-related variables with strong predict power.Develop and test experimental designs, sampling techniques, and analytical methods to identify relationships among sources of information;Evaluate the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency and accuracy;Examine theories, such as those of probability and inference in order to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data;Identify relationships and trends in data, as well as any factors that could affect the results of research;Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used;Report results of statistical analysis, including information in the form of graphs, charts, and tables;Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data;Analyze the economic and financial KPIs to discover the potential growing industries and develop a data-driven financial allocation model based on industry segmentation and behavioral clustering with Python, Machine Learning, Redshift, and Data Pipeline.Articulate and translate business questions and use statistical techniques to arrive at an answer using available data to assist with business expansion;Design model performance validation schemes and deal with lack of labeled data;Applied time series/regression models on 5-year investment data to identify influential factors and design investment portfolio.Perform a variety of duties involving the application of basic, intermediate, and advanced statistical methods to the design of school research studies, and to the compilation and analysis of statistical data;Collaborate with superior regarding data management and statistical modeling needs with Admissian team.REQUIREMENTS: 

　　Bachelor's degree in Mathematics, Economics, Statistics or a closely related field, plus 12 months of experience in the job offered and 12 months of experience  in providing statistical analysis using Python, Machine Learning, Redshift, and Data Pipeline.