Roles and Responsibilities:

• 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.


• Develop custom data models and algorithms to apply to data sets.


• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.


• Coordinate with different functional teams to implement models and monitor outcomes.


• Develop processes and tools to monitor and analyze model performance and data accuracy.

Required Competencies:

• 5+ years’ experience working with and manipulating data sets and building statistical models


• Strong problem solving skills with an emphasis on product development.


• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc


• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.


• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.


• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.


• Experience with Agile, Scrum, iterative, or waterfall development and project methodologies