> Markdown version of [/jobs/ext/4614935-sr-data-scientist](https://www.wearedevelopers.com/jobs/ext/4614935-sr-data-scientist). 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).

---

# Sr. Data Scientist

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, R (Programming Language), Python (Programming Language), Machine Learning, Standard Sql, Feature Engineering
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8gla1eze

## About the Role

* Bachelor's or Master's degree in a quantitative field required; PhD preferred
 * Minimum one year of hands-on experience in predictive modeling or advanced analytics in financial services
 * Strong programming skills in Python, R, and SQL
 * Expertise in statistical modeling methodologies and machine learning algorithms
 * Ability to communicate complex technical concepts to business and executive audiences

## Description

This role will focus on building and operationalizing predictive analytics solutions that support credit risk, marketing, and other key business decisions in a regulated financial services environment. The position owns the full model development lifecycle, from problem framing and feature engineering through deployment, monitoring, and ongoing refinement. You will partner closely with technical and business stakeholders to translate complex data into actionable insights that improve performance, governance, and decision-making., * Develop and maintain predictive models for credit risk, marketing, and other business domains

 * Manage the end-to-end model development lifecycle from problem framing to deployment
 * Implement machine learning solutions using advanced techniques
 * Create model monitoring frameworks to ensure performance and compliance
 * Communicate model performance and insights to technical and non-technical audiences