Lead Data Scientist, Credit Risk & Analytics - Hybrid

Harnham; Dallas (TX); Hybrid; USD 140,000 - 150,000; Full time

Job summary

Harnham in Dallas, TX is seeking a Lead Data Scientist to own credit risk and advanced analytics initiatives. You will partner with executives and cross-functional teams to shape strategy, build predictive models, and translate complex data into actionable insight for decision making.

This leadership role emphasizes mentorship, scalable analytics frameworks, and delivering measurable financial impact through production-ready solutions across large datasets and diverse data sources.

Qualifications

• 8+ years of experience in data science, analytics, or risk analytics.
• Experience applying statistical and machine learning techniques to real-world problems.
• Advanced Python and SQL skills with large, complex datasets.
• Strong understanding of predictive modeling, segmentation, experimentation, and statistics.

Responsibilities

• Lead analytical initiatives from problem definition through implementation and measurement.
• Develop predictive models to support business strategy, financial forecasting, and risk assessment.
• Leverage ML techniques to generate actionable insights.
• Identify trends, quantify opportunities, and uncover root causes within large datasets.
• Collaborate with senior stakeholders to translate business challenges into analytical solutions.
• Present findings and recommendations to leadership through data storytelling.
• Mentor junior team members and build scalable analytics frameworks.

Skills

Data science leadership

Executive communication

Problem solving

Mentoring

Statistical analysis

Education

Bachelor's degree in Mathematics/Statistics/Economics/Engineering

Tools

Python

SQL

AWS

Snowflake

Job description

Harnham in Dallas, TX is seeking a Lead Data Scientist to own credit risk and advanced analytics initiatives. You will partner with executives and cross-functional teams to shape strategy, build predictive models, and translate complex data into actionable insight for decision making.

This leadership role emphasizes mentorship, scalable analytics frameworks, and delivering measurable financial impact through production-ready solutions across large datasets and diverse data sources.