Formulate and lead multifaceted analytic studies against large volumes of data.
Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method.
Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
Experiment against data points, provide information based on experiment results, and offer previously undiscovered solutions to complex data challenges.
Lead all data experiments tasked by the Data Science Team.
Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
Develop methodology and processes for prioritization and scheduling of projects.
Analyze problems and determine root causes.
Define company data assets (data models), Spark, SparkSQL, and HiveSQL jobs to populate data models.
Work closely with all business units and engineering teams to develop strategy for long-term data platform architecture.
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