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# Manager, Data Science and Optimization - Retail Bank

- **Company:** Capital One Financial Corporation
- **Location:** York, NY, United States
- **Salary:** $197,300.0 - $225,100.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Relational Databases, Integer Programming, Python (Programming Language), Machine Learning, Open Source Technology, Software Systems, Enterprise Software Applications, Cloud Platform System, Optimization Algorithms, Data Analytics
- **Published:** August 13, 2026
- **Apply:** https://www.capitalonecareers.com/job/mclean/manager-data-science-and-optimization-retail-bank/1732/99120454496

## About the Role

* Strategic Impact & Experimental Rigor. Proven track record of driving strategic business value by optimizing customer experience funnels and risk policies, effectively evaluating external data, and institutionalizing closed-loop experimental frameworks to align predictive backtesting with live operational outcomes.
 * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
 * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
 * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms., * Bachelor's Degree plus 6 years of experience in data analytics, or Master's Degree plus 4 years of experience in data analytics, or PhD plus 1 year of experience in data analytics
 * At least 2 years' experience in open source programming languages for large scale data analysis
 * At least 2 years' experience with machine learning
 * At least 2 years' experience with relational databases, * PhD in "STEM" field (Science, Engineering, Operations Research or Mathematics) plus 2 years of experience in data analytics
 * At least 1 year of experience working with AWS
 * At least 4 years' experience in Python, Scala, or R for large scale data analysis
 * At least 4 years' experience with machine learning
 * Experience in using numerical optimization to solve business problems
 * Experience with linear, non-linear, integer programming techniques and software packages
 * Has a track record of optimizing business outcomes and decision systems
 * Experience in formulating business problems that involves complex data, models, policy rules
 * Working experience with time-series models

## Description

* Formulate & Solve Complex Problems: Translate ambiguous business challenges into structured mathematical problems. Design and implement optimization models (linear, mixed-integer, non-linear, and heuristic) to improve decision-making.
 * Build & Deploy Scalable Models: Develop, test, and deploy production-grade optimization algorithms and simulation models using Python and commercial/open-source solvers.
 * Collaborate Cross-Functionally: Partner closely with Product, Engineering, and Business teams to integrate optimization engines into existing software systems and workflows.
 * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation


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