Machine Learning Data Scientist – Logistics Algorithms
Stitch Fix
PythonScikit-LearnSQL
Data Scientist – Credit
Best Egg
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $125,000 - $140,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudDockerPandasPythonSQL
About the role
- Build and enhance credit risk models (e.g., Gen5B Shadow/Gen6, and Autonomous Underwriting) to improve credit predictability and manage portfolio risk.
- Work with MLOps, Feature Platform, Credit Strategy, and Implementation teams to build adaptive modeling pipelines that connect model insights directly to automated, production-ready decision flows.
- Keep our modeling framework responsive to changes in credit quality and macroeconomic trends.
- Conduct exploratory data analysis and experiment tracking to identify key risk drivers and optimize model performance.
- Own Python project structure, CI/CD setup, and end-to-end testing for reliable model delivery.
- Partner with MLOps and Feature Platform to maintain model pipelines (Metaflow, SageMaker, etc.) and streamline model deployment.
- Support model deployment and validation to make sure that models run reliably in production and deliver consistent results.
- Improve overall development efficiency through standardization, automation, version control, and reproducibility.
- Expand monitoring frameworks to underwriting models.
- Support bank and compliance reviews of model performance, PSI/CSI analysis, reject inference, and validation.
- Maintain audit-ready documentation and data transparency for internal and external partner reviews.
- These efforts complement the broader model monitoring and compliance initiatives led by the Credit DS team.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering, Data Science or other quantitative major. Master's or PhD is preferred. Other quantitative fields with experience in building Cloud Services/Architect solutions, and data/CI/CD pipelines for AI/ML solutions will be considered.
- Solid understanding of the model lifecycle (EDA, modeling, evaluation, deployment)
- Intermediate Python and SQL
- Data wrangling using pandas (bonus: pyarrow, polars)
- Basic version control (git/GitHub)
- Experience with Metaflow or similar orchestration frameworks (Flyte, ZenML, SageMaker Pipelines)
- Familiarity with cloud environments (AWS preferred)
- Model deployment experience (FastAPI + Docker)
- Unit testing (pytest) and modern Python project tools (uv, poetry)
- Background in credit risk modeling or lending-related ML solutions (e.g., underwriting, early delinquency, loss prediction, fraud detection, etc.)
Benefits
- This position is also eligible for an annual incentive bonus based on individual and company performance.
- Yearly incentive bonus target 20% of base salary.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLdata wranglingmodel lifecycleunit testingcredit risk modelingmodel deploymentexploratory data analysisCI/CDversion control
Soft skills
collaborationcommunicationproblem-solvingadaptabilityattention to detail
Certifications
Bachelor's degreeMaster's degreePhD
