Senior Credit Risk ML Scientist | Remote + Equity + Bonus

Harnham; United States; À distance; USD 120 000 - 134 000; Plein temps

Avantages offerts par ce poste

20% annual bonus

Equity participation

Fully remote working

Résumé du poste

Harnham is hiring a Senior Data Scientist to own end-to-end ML lifecycles, from feature engineering to production deployment. You will build models for credit risk, forecast outcomes, and help steer business decisions with measurable results.

You will collaborate with business stakeholders, monitor performance, and explore new data sources to improve accuracy and value. This is a fully remote role with equity potential.

Qualifications

• Strong commercial experience building predictive machine learning models.
• Experience deploying models into production environments.
• Strong Python skills with scikit-learn.
• Experience solving business problems through statistical modeling and ML.
• Ability to communicate technical findings to non-technical stakeholders.
• Practical, delivery-focused approach to data science.

Responsabilités

• Develop, deploy, and improve ML models that support critical business decisions.
• Build supervised ML models from development through production.
• Design predictive models for risk and decisioning strategies.
• Translate real-world challenges into scalable data science solutions with stakeholders.
• Monitor model performance and identify optimization opportunities.
• Investigate model drift and implement enhancements.
• Test and validate models for reliability and business value.
• Evaluate new data sources, features, and modeling approaches.

Connaissances

Predictive modeling

Production deployment

Python (scikit-learn)

Statistical modeling

Stakeholder communication

Delivery-focused

Outils

scikit-learn

Description du poste

Harnham is hiring a Senior Data Scientist to own end-to-end ML lifecycles, from feature engineering to production deployment. You will build models for credit risk, forecast outcomes, and help steer business decisions with measurable results.

You will collaborate with business stakeholders, monitor performance, and explore new data sources to improve accuracy and value. This is a fully remote role with equity potential.