Lead Data Scientist

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LEAD DATA SCIENTIST – CREDIT RISK & ADVANCED ANALYTICS

DALLAS, TX (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

Nice to Have

Master’s degree in a quantitative 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

Why This Role

High-visibility role with regular interaction with executive leadership

Opportunity to drive business outcomes through production-ready analytics and machine learning

Strong autonomy and ownership over projects and strategy

Work on initiatives with measurable multi-million-dollar business impact

Mentor and influence without direct people-management responsibilities

Collaborative, supportive culture that values innovation, curiosity, and continuous improvement

Opportunity to see your models implemented and your work recognized across the organization

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.

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