Description
As a Principal Associate, Data Scientist - SBB Fraud at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.
The Small Business Bank (SBB) Fraud Data Science team builds machine learning models that help protect customers and Capital One against fraudsters by catching millions of dollars in transactions, account opening, and account takeover fraud. You'll work with cross-functional teams including analysts, software engineers, and product managers to build, deploy, and manage fraud models that make intelligent decisions.
Responsibilities:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies , Python, Conda, AWS, H2O, Spark, and more , to reveal insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Translate the complexity of your work into tangible business goals
Requirements:
- Statistically-minded with experience building models, validating them, and backtesting them
- A data guru with skills to retrieve, combine, and analyze data from various sources and structures
- Customer-focused with a passion to do the right thing
- Technical with hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Basic Qualifications:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
- Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 3 years’ experience with machine learning
- At least 1 year of experience with deep learning/emerging AI e.g. graphs, embeddings, sequence models, transformer models
- At least 3 years’ experience in Python, Dask, Spark etc.
- At least 3 years’ experience with SQL
- At least 1 year of experience working with AWS
Salary: $161,800 - $184,600 per year
Benefits: Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.