Build tree based machine learning models and deep neural network models.
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop processes and tools to monitor and analyse model performance data accuracy
Skills & Requirements
Bachelor’s degree or above, major in Statistics, Analytics or Applied Mathematics
Minimum 4 years+ experience related to data processing analysis, statistical data modeling
Proficient in statistical languages (R, S-plus, SAS, STATA, Python)
Experience with large dataset tools like MapReduce, Hadoop, Hive etc.
Proficient in machine learning related libraries sklearn, numpy, pandas, etc.
Understand algorithm principles such as linear regression, tree model, support vector machine, neural network, etc.
Intermediate user of various data extraction query tools such as SQL, Spark, MongoDB, etc.