Interpret data, analyze results using statistical techniques and provide ongoing reports.
Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Develop custom data models and algorithms to apply to data sets.
Use predictive modelling to solve variety of Business Problems.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Locate and define new process improvement opportunities.
Be a member of the Data Science team and help in code review processes.
Requirements
Expertise regarding data models, database design development, data mining and segmentation techniques.
Strong knowledge of and experience with reporting tools(Tableau), databases (SQL etc),programming (R, Python).
Knowledge of advancedstatistical techniquesand concepts (regression, properties of distributions, statistical tests etc.) and experience with applications.
Strong analytics skill with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Knowledge of a variety of machine learning techniques/models (k-means, decision trees, random forest etc.)