Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Formulates and leads guided, multifaceted analytic studies against large volumes of data.

Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.

Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.

Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.

Leads all data experiments tasked by the Data Science Team.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.

Develops methodology and processes for prioritization and scheduling of projects.

Analyzes problems and determines root causes.

Uses programming skills in Python, R, Scala, Java or any of the major languages to build robust data pipelines and dynamic systems

Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.

Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.

Proficient with one or more programming languages (Java, C++, Python, R, etc.)

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Demonstrated experience applying data science methods to real-world data problems

Experience utilizing visualization tools to take advantage of the growing volume of available information