Lead Data Scientist: Credit Risk & Predictive Analytics

Harnham; Phoenix (AZ); Hybrid; USD 140,000 - 150,000; Full time

Job summary

Harnham in Tempe, AZ (hybrid) seeks a Lead Data Scientist specializing in credit risk and advanced analytics. You will drive analytics strategy, own end-to-end modeling projects, and partner with executives to influence critical decisions.

You will apply ML and statistical techniques to forecast risk, build scalable analytics frameworks, and mentor teammates while delivering measurable business impact.

Qualifications

• 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.
• Bachelor's degree in a quantitative field.

Responsibilities

• 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.

Skills

Leadership

Data science

Predictive modeling

Machine learning

SQL

Python

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

AWS

Snowflake

Job description

Harnham in Tempe, AZ (hybrid) seeks a Lead Data Scientist specializing in credit risk and advanced analytics. You will drive analytics strategy, own end-to-end modeling projects, and partner with executives to influence critical decisions.

You will apply ML and statistical techniques to forecast risk, build scalable analytics frameworks, and mentor teammates while delivering measurable business impact.