Requires a Masters degree in Statistics, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 1 year of work experience in the job offered or in a developer platform or riskcompliancerelated occupation.br br Requires 1 year of experience in the followingbr 1. Performing quantitative analysis including data mining on highly complex data sets;br 2. Data querying language SQL;br 3. Scripting language Python;br 4. ETL Extract, Transform, Load processes;br 5. Relational databases;br 6. Distributed data processing engine including Hive, Presto and Spark;br 7. Statistical and mathematical software R, SAS, or Matlab;br 8. Scientific computing and analysis packages including NumPy, SciPy, Pandas, Scikitlearn, dplyr, and PyCaret;br 9. Statistics and experimentation Applied AB testing, time series analysis, stochastic modeling, and survival analysis, in an industry setting;br 10. Machine learning and quantitative analysis techniques Applied Regression, Classification, Clustering, Decision Tree, Random Forest, Neural Network, pattern recognition, descriptive, inferential statistics, and Support Vector Machine, to business problems;br 11. Data and information visualization technique including Tableau, Unidash, and QlikView;br 12. Communicating the results of analyses to product teams, engineer teams, and leadership teams to influence strategy.

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