Perform data-derived insights across a wide range of topics and business industry domains advanced by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.
Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights.
Ability to perform advanced data analytics using advanced tools, like R, SPSS, Stata.
Participate in improving business decisions based on predicted analytics and insights.
Build complex data sets derived from multiple data sources.
Develop custom data models to drive innovative business solutions.
Scale existing data algorithms to match new data sets.
