Data Scientist

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The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. 

Responsibilities

Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment.

Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.

Drive the collection of new data and the refinement of existing data sources.

Analyze and interpret the results of product experiments.

Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses.

Requirements

M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role.

Extensive experience solving analytics problems using quantitative approaches.

A proven passion for generating insights from data.

Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics.

Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.

Fluency with at least one scripting language such as Python, Java, or C/C++.

Familiarity with relational databases and SQL.

All your information will be kept confidential according to EEO guidelines.