Remote Senior Credit Data Scientist — ML & Risk

Ladders; United States; Remote; USD 120,000 - 134,000; Full time

Benefits offered by this job

Health coverage

Flexible spending account

Generous PTO

Wellness stipend

Job summary

Ladders seeks a Senior Data Scientist, Credit, to build and operationalize ML solutions for credit decisioning in the finance space. You will partner with business and technical stakeholders to translate data into practical risk-aware models and strategies.

You will enhance methodologies, expand data sources, and influence real-world model usage while mentoring teammates in a collaborative environment. Remote work is available.

Qualifications

• PhD in a quantitative field with 1+ years of experience, or BS/MS with 3+ years in a related role.
• Experience with supervised learning models in production systems.
• Strong collaboration skills with both technical and business teams.
• Advocates for software engineering best practices.
• Broad interest in various ML solutions and tools.
• Familiarity with the PyData stack, including numpy, scikit-learn, and pandas.
• Motivated by practical solutions over theoretical ones.

Responsibilities

• Design and deploy machine learning models to solve business problems.
• Collaborate with business leaders to align modeling with financial goals.
• Develop new data sources and enhance existing modeling methodologies.
• Implement risk management practices in model applications.
• Share best practices and mentor junior data scientists.
• Operationalize and evaluate models in real-world settings.
• Explore and experiment with emerging tools for model development.

Skills

Supervised learning

Collaboration

Software engineering practices

Model deployment

Practical problem solving

Education

PhD in a quantitative field

BS/MS with 3+ years experience

Tools

PyData stack

numpy

scikit-learn

pandas

Job description

Ladders seeks a Senior Data Scientist, Credit, to build and operationalize ML solutions for credit decisioning in the finance space. You will partner with business and technical stakeholders to translate data into practical risk-aware models and strategies.

You will enhance methodologies, expand data sources, and influence real-world model usage while mentoring teammates in a collaborative environment. Remote work is available.