Data Scientist – Credit
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- Job Description:
- Build high performance ML models that improve credit predictability and customer outcomes.
- Build end-to-end machine learning pipelines including data extraction, feature engineering, model building, performance evaluation, and implementation.
- Build end-to-end model monitoring pipelines to monitor model performance, including model stability, drift detection, and performance diagnostics.
- Develop and own reporting pipelines that support recurring risk reporting, monitoring, and ad-hoc analysis
- Explore rich data assets to uncover trends, identify key risk drivers, and generate insights.
- Define and monitor data quality metrics (completeness, accuracy, timeliness, consistency)
- Manage full modeling lifecycle: model design, data preparation and exploration, feature engineering, model development, evaluation, deployment, monitoring and documentation.
- Design experiments and challenger models to test new ideas and drive innovation.
- Contribute to audit-ready documentation and support model validation and governance processes.
- Leverage modern AI technology and tools to improve workflow, enhance modeling performance, establish and promote best practices.
- Work cross-functionally to ensure models are explainable, transparent, and aligned with business goals and regulatory expectations.
- Translate analytical findings into recommendations for Strategy, Pricing, and other business decisions.
- Build pipelines that are scalable, automated, and well-documented.
- Requirements:
- A Master’s or PhD degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering, etc.).
- 1+ years of experience developing predictive models or performing advanced analytics.
- Strong understanding of statistical modeling and machine learning fundamentals.
- Proficiency in Python (e.g., pandas, numpy, scikit-learn) and SQL.
- Experience working with large datasets.
- Experience building end to end pipeline.
- Ability to clearly communicate analytical findings to both technical and non-technical audiences.
- Experience implementing data quality checks and monitoring.
- Demonstrated ownership, curiosity, and ability to deliver high-quality results.
- Benefits:
- Pre-tax and post-tax retirement savings plans with a competitive company matching program
- Generous paid time-off plans including vacation, personal/sick time, paid short-term and long-term disability leaves, paid parental leave, and paid company holidays
- Multiple health care plans to choose from, including dental and vision options
- Flexible Spending Plans for Health Care, Dependent Care, and Health Reimbursement Accounts
- Company-paid benefits such as life insurance, wellness platforms, employee assistance programs, and Health Advocate programs
- Other great discounted benefits include identity theft protection, pet insurance, fitness center reimbursements, and many more!