Lead Data Scientist

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

Job summary

Harnham is seeking a Lead Data Scientist focused on credit risk and advanced analytics in Tempe, AZ. This hybrid role leads analytics projects from concept to implementation, partnering with executives to drive financial impact and customer outcomes.

You will apply machine learning, statistical modeling, and business insights to deliver scalable solutions, mentor peers, and influence strategic decisions across cross-functional teams.

Qualifications

• 8+ years of experience in data science, quantitative analytics, predictive modeling, or risk analytics.
• Advanced Python and SQL skills with experience working across large, complex datasets.
• Strong understanding of predictive modeling, segmentation, experimentation, and statistical analysis.

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

Python

SQL

Data science

Predictive modeling

Risk analytics

Tools

Python

SQL

Job description

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