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Collaborates with stakeholders throughout the business to understand existing processes and identify opportunities for leveraging data to drive solutions.
Communicates with CO-OP stakeholders at all levels including senior level executives and clients regarding CO-OP's reporting strategy, solutions and roadmap.
Provides oversight and guidance when required to other business intelligence and data science team members. Recommends training opportunities to further advance individuals and the CO-OP business intelligence platform.
Performs data mining and analysis from a variety of databases to help build solutions for optimizing product development, client card portfolios, and business and operational strategies.
Designs and builds custom AI driven data models and algorithms applied to data sets to further optimize products and processes.
Performs exploratory data analysis to determine effectiveness and accuracy of data to be applied to models and algorithms as well as accuracy of new data sources.
Develops and performs A/B testing framework to determine model quality and validity.
Interprets data analysis, model and algorithm results to business and technical teams to facilitate decisions.
Coordinates with business and technical teams to implement models and provide monitoring and feedback to business of results.
Designs and builds predictive modeling to increase and optimize credit union card portfolios, generate revenue opportunities, prevent client attrition, optimize portfolio segmentations for right-time offers, and other business outcomes.
Develops processes and tools to monitor and analyze model performance and data accuracy.
Follows industry standards and advances on data driven technologies and tools and further recommend those that will help further advance CO-OPs data science practice.
Adhere to Agile principles and philosophies (Scrum or Kanban, as applicable) in fulfillment of the role.
Collaborate within the direct team in accordance with Team Agreement, Definition of Ready, and Definition of Done.
Work as a cross-functional team member in an Agile setting to help complete and deliver the team commitments.
Collaborate across teams and across business areas in the spirit of an Agile mindset.
Fulfill the role in the spirit of the Agile Manifesto, with emphasis on delivery of incremental value with frequent iterations and feedback loops.
Responsible for reporting risks that are identified to the appropriate team and/or management. Additionally, responsible for managing, monitoring and reporting risks within the scope of your work area, to include, but not limited to Information Security risks.


Qualifications:

MBA or PhD in Statistics, Mathematics, Computer Science, Advanced Analytics, or Data Mining. Specific data science or advanced analytics certificates combined with experience may be substituted.
7+ years' experience as a Data Scientist.