Data Scientist

LEAD DATA SCIENTIST – CREDIT RISK & ADVANCED ANALYTICSTEMPE, AZ (HYBRID) $140,000 – $150,000 BASE + ANNUAL BONUSThe Opportunity Join a high-impact Analytics team focused on solving complex business challenges through advanced data science, predictive modeling, and risk analytics.This is a highly visible leadership role where you'll partner directly with executives and cross-functional stakeholders to influence key business decisions, improve customer outcomes, and drive measurable financial impact.You'll own projects from concept through implementation, applying machine learning, statistical modeling, and business insight to deliver solutions that make a real difference.What You'll DoLead analytical initiatives from problem definition through implementation and measurementDevelop predictive models to support business strategy, financial forecasting, and risk assessment initiativesLeverage machine learning techniques such as gradient boosting, random forests, clustering, and segmentation to generate actionable insightsIdentify trends, quantify opportunities, and uncover root causes within large and complex datasetsCollaborate with senior stakeholders to translate business challenges into analytical solutionsPresent findings and recommendations to leadership through compelling data storytelling and executive presentationsGuide and mentor less experienced team members on project execution and analytical methodologiesBuild scalable processes and analytical frameworks that improve business performance over timeWhat We're Looking For8+ years of experience in data science, quantitative analytics, predictive modeling, or risk analyticsExperience applying statistical and machine learning techniques to real-world business problemsAdvanced Python and SQL skills with experience working across large, complex datasetsStrong understanding of predictive modeling, segmentation, experimentation, and statistical analysisProven track record of influencing business decisions through data-driven recommendationsExcellent communication skills with the ability to explain complex concepts to executive audiencesExperience leading initiatives independently with minimal directionBachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or a related disciplineNice to HaveMaster's degree in a quantitative disciplineExperience within financial services, consumer lending, real estate, healthcare, or other regulated industriesBackground in risk management, portfolio analytics, or credit-related modelingExposure to model validation, governance, audit, or regulatory review processesKnowledge of cloud-based data environments including AWS and SnowflakeExperience utilizing bureau data, scorecards, or advanced forecasting methodologiesWhy This RoleHigh-visibility role with regular interaction with executive leadershipOpportunity to drive business outcomes through production-ready analytics and machine learningStrong autonomy and ownership over projects and strategyWork on initiatives with measurable multi-million-dollar business impactMentor and influence without direct people-management responsibilitiesCollaborative, supportive culture that values innovation, curiosity, and continuous improvementOpportunity to see your models implemented and your work recognized across the organizationIf you're a data science leader who enjoys solving complex business problems, influencing executive decisions, and building predictive models that drive real-world results, we'd love to connect.