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# Data Scientist

- **Company:** Bread Financial
- **Location:** Columbus, OH, United States
- **Experience:** Experienced
- **Salary:** $87,900.0 - $183,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, R (Programming Language), Python (Programming Language), Machine Learning, Data Processing, Information Technology, Data Analytics
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0df063b8854135de

## About the Role

Do you have experience in Time series models?, Do you have a Master's degree?, * Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics.

 * 2+ years experience in building sophisticated models using machine learning, segmentation, time series, and other advanced analytics methodologies., * Master's Degree or PhD in relevant fields.
 * 3+ years professional experience in model building and analytics. Experience in Marketing, Bank card business, Credit card business, Consulting, Retail, or Financial Services is advantageous., * Data Manipulation
 * Machine Learning
 * Python (Programming Language)
 * R Statistics
 * Statistical Analysis
 * Statistics
 * Time Series Analysis
 * Cloud Environment, * Ability to travel up to 5% quarterly

## Description

The Data Science role at Bread Financial delivers best-in-class actionable business insights through cutting-edge predictive models and data science techniques. The Data Scientist is pivotal in generating data-driven insights using advanced analytics and machine learning techniques to support enterprise data science needs., * Establishing and executing the framework for engaging enterprise partners to plan new AI solutions. - (30%)

 * Design, build, deploy, and periodic maintenance of AI solutions. - (30%)
 * Assisting with documentation, compliance, model governance, and maintenance of AI solutions. - (15%)
 * Research advanced modeling and AI techniques to improve predictive modeling and maintain business acumen in relevant industries. - (15%)
 * Building strong relationships with internal business partners to drive the delivery of enterprise solutions. - (10%)


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