• Design, develop, implement, monitor, and maintain valuations related machine learning models • Manage data analysis and modeling projects leveraging appropriate statistical, mathematical or machine learning tools to support business strategies and outcomes • Manage analytic solutions (data, tools reports, models) that advance and accelerate business partner agenda • Generate and synthesize customer and market insights from a wide variety of data systems • Prepare reports of analysis results for business partners and other non-technical audiences • Develop needed databases, data structures, compute patterns and operational processes to extract maximum value from existing and new data assets • Write "production worthy" code and perform code review and necessary testing to ensure that data products meet the highest quality and production standards • Identify opportunities to apply statistical methods to improve business performance, advance new strategies or to solve existing challenges • Work cross-functionally with peers in Technology, product, and business analysts to identify new attributes and applications • Create business intelligence, dashboards, and/or other advanced analytics metrics and reports to adequately communicate the business narrative and offer recommendations that are actionable and have material impact • Provide mentorship and guidance to junior level team members, modeling effective working relationships and solution-building that demonstrates product value.