In short
– & , AZ (HYBRID) $140,000 – $150,000 BASE + The Opportunity Join a high-impact Analytics team focused on solving complex business challenges through advanced data science…
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📋 About the job
📌LEAD DATA SCIENTIST – CREDIT RISK & ADVANCED ANALYTICS
TEMPE, AZ (HYBRID)
✨$140,000 – $150,000 BASE + ANNUAL BONUS
✨The 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 Do
✅Lead analytical initiatives from problem definition through implementation and measurement
✅Develop predictive models to support business strategy, financial forecasting, and risk assessment initiatives
✅Leverage machine learning techniques such as gradient boosting, random forests, clustering, and segmentation to generate actionable insights
✅Identify trends, quantify opportunities, and uncover root causes within large and complex datasets
✅Collaborate with senior stakeholders to translate business challenges into analytical solutions
✅Present findings and recommendations to leadership through compelling data storytelling and executive presentations
✅Guide and mentor less experienced team members on project execution and analytical methodologies
✅Build scalable processes and analytical frameworks that improve business performance over time
🎯What We're Looking For
🔹8+ years of experience in data science, quantitative analytics, predictive modeling, or risk analytics
🔹Experience applying statistical and machine learning techniques to real-world business problems
🔹Advanced Python and SQL skills with experience working across large, complex datasets
🔹Strong understanding of predictive modeling, segmentation, experimentation, and statistical analysis
🔹Proven track record of influencing business decisions through data-driven recommendations
🔹Excellent communication skills with the ability to explain complex concepts to executive audiences
🔹Experience leading initiatives independently with minimal direction
🔹Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or a related discipline