Designs, develops and programs methods, processes, and systems toconsolidate and analyze unstructured, diverse "big data" sources togenerate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multipledisparate sources.
Identifies meaningful insights from large data and metadata sources.
Interprets and communicates insights and findings from analysis and experiments to product, service and business managers.
As a seasoned, experienced professional with a full understanding of area of specialization, he/she resolves a wide range of issues in creative ways.
Ability to draw on past experience and current data to influence business partners and provide insightful analytics.
Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
Networks with senior internal and external personnel in own area of expertise.
Ability to build tests to identify errors while developing software.
Ability to leverage R, Python, SQL and other systems to perform complex analysis.
Ability towork in cross-functional teams and work more independently.
Ability to perform code reviews of peers work.
Typically requires a minimum of 5 years and a Master's degree; or a PhDwith 3 years of experience
Graduatedegree in a quantitative field (computer science, applied mathematics, statistics, physics, economics, etc.)