> Markdown version of [/jobs/ext/4625640-senior-data-scientist-credit](https://www.wearedevelopers.com/jobs/ext/4625640-senior-data-scientist-credit). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Scientist, Credit

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000.0 - $134,000.0
- **Contract:** Permanent contract
- **Skills:** Machine Learning, NumPy, Supervised Learning, Pandas, Scikit Learn
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8e1jsig7

## About the Role

* 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

## Description

This role will focus on building and operationalizing machine learning solutions that support credit decisioning and broader financial outcomes. You will partner closely with business leaders and technical stakeholders to translate complex data into practical models and risk-aware strategies. The position offers the opportunity to improve existing methodologies, expand available data sources, and influence how modeling is applied in real-world settings., * 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