Data Scientist - Fulltime

LEAD DATA SCIENTIST - CREDIT RISK & ADVANCED ANALYTICS 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. 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 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 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

Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or a related discipline

Experience within financial services, consumer lending, real estate, healthcare, or other regulated industries Background in risk management, portfolio analytics, or credit-related modeling Exposure to model validation, governance, audit, or regulatory review processes Knowledge of cloud-based data environments including AWS and Snowflake Experience utilizing bureau data, scorecards, or advanced forecasting methodologies Opportunity to drive business outcomes through production-ready analytics and machine learning Strong autonomy and ownership over projects and strategy If 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.