> Markdown version of [/jobs/ext/2693941-data-scientist-fraud-authentication](https://www.wearedevelopers.com/jobs/ext/2693941-data-scientist-fraud-authentication). 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).

---

# Data Scientist - Fraud Authentication

- **Company:** Capital One Financial Corporation
- **Location:** McLean, VA, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Cluster Analysis, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Open Source Technology, Sentiment Analysis, SQL Databases, Cloud Platform System, Apache Spark, Deep Learning, Model Validation, Information Technology, Data Analytics
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/9363a87a-6b98-4064-9d0b-886b616270d6

## About the Role

* Bachelor's Degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field plus 5 years of data analytics experience.
 * OR Master's Degree / quantitative MBA plus 3 years of data analytics experience.
 * OR PhD in a quantitative field.
 * Strong experience in Python, SQL, Machine Learning, and statistical modeling.
 * Experience building, validating, and backtesting machine learning models.
 * Experience working with cloud computing platforms and open-source technologies., * 3+ years of experience with Python, Scala, or R.
 * 3+ years of Machine Learning experience.
 * 3+ years of SQL experience.
 * 1+ year of AWS experience.
 * Experience with Spark, H2O, and large-scale data processing.
 * Experience in fraud detection, risk analytics, banking, or financial services is a plus.

## Description

Capital One is seeking a talented Data Scientist to join the US Card Fraud Authentication Data Science team. This team works at the intersection of fraud prevention and customer experience, using advanced analytics and machine learning to identify evolving fraud patterns and develop scalable solutions.

You'll work with technologies including Python, AWS, Spark, H2O, and SQL while partnering with data scientists, software engineers, product managers, and business stakeholders., * Analyze complex and ambiguous fraud problems to identify opportunities for machine learning.

 * Design, develop, evaluate, validate, and implement machine learning models.
 * Leverage Spark and AWS to analyze large-scale datasets and identify fraud patterns.
 * Develop scalable data science solutions that improve fraud prevention and customer experience.
 * Collaborate with cross-functional teams to translate business problems into technical solutions.
 * Communicate complex analytical and technical concepts clearly to business stakeholders.
 * Apply statistical techniques and model evaluation methods, including confusion matrices and ROC curves.
 * Work with classification, clustering, time series, sentiment analysis, and deep learning techniques.


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai)
- [Let's Get Aggregated: Custom UDAFs in Spark  ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark)
- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)

## Related Articles

- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)