Data Scientist - Credit
$85,000–$150,000 year
Remote · United States or US
United States or USRemoteFull Time$85,000–$150,000 yearMid LevelMasters DegreeUnknown
Type
Full Time
Level
Mid Level
Education
Masters Degree
Company size
Unknown
Job Summary
Seeking a Data Scientist with expertise in credit risk modeling and strong analytical skills to enhance and modernize credit models, ensuring they are scalable and production-ready. Requires a Master’s degree and proficiency in Python and SQL. Familiarity with MLOps and cloud environments is a plus.
Required Qualifications
- Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Data Science, or related)
- Strong understanding of the model lifecycle (EDA, modeling, evaluation, deployment)
- Proficiency in Python (pandas, scikit-learn, etc.) and SQL
- Experience with Metaflow or similar orchestration frameworks (e.g., Flyte, ZenML, SageMaker Pipelines)
- Familiarity with cloud environments (AWS preferred)
- Experience with model deployment (FastAPI + Docker or similar)
- Understanding of version control (Git/GitHub), unit testing (pytest), and modern Python tooling
Desired Qualifications
- Background in credit risk modeling or lending-related ML applications
- Experience integrating ML solutions with decision systems or APIs
- Familiarity with model monitoring frameworks or model governance processes
- Comfort working in cross-functional teams and presenting technical results to non-technical stakeholders
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