Interact with stakeholders throughout the organization to learn core business processes for delivering on high-priority data and analysis needs.
Expertise in solving/developing AI/ML use cases
Propose solutions involving creative analytical approaches and development best practices.
Design, execute, and maintain scalable data solutions (extraction / mining / modeling / visualization / reporting)
Drive ideation, prioritization, and solution delivery as a lead data scientist
Present data solutions, results of analysis, and meaningful insights to senior management and stakeholders
Drive user adoption and expanded use of credit data products on AWS Redshift
Qualifications
11+ years of experience, preferably in quantitative or AI/ML roles in financial/banking organizations
Ability to deeply understand business problems and design custom data solutions. Strong ability to communicate solutions and results to senior stakeholders through effective data storytelling
Experience managing and empowering diverse teams of data and analytical professionals
Expertise applying data science solutions in problem solving; hands-on experience in programming languages like Python, R, SAS, SQL scripting;
Knowledge/experience on below tools is a big plus
Data tools, e.g., Alteryx
Understanding of visualization software, e.g., Qlik Sense, Tableau
Cloud computing platforms, e.g., Amazon Web Services
Team player with a demonstrated work and controls ethic. Demonstrates a high level of accountability to drive results, a track record of fostering collaborative problem solving among team members and global partners, and empowering high-performance employees.