Plano 7 (31067), United States of America, Plano, Texas

Senior Associate Data Scientist - Statistical Analysis, Financial Services

At Capital One, we think big and do big things. We are a Top-10 bank by deposits-a high-tech company, a data driven company, and a nationally recognized brand. Our products reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry, at Capital One you will shape how it transforms financial services.

Team Description:

As a Data Scientist at Capital One's Auto Finance business, you'll be part of a high performing modeling and analytics team that's leading the next wave of disruption at a whole new scale. Our team has a relentless focus on the craft of modeling and innovation, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. You'll drive the heart of business by working on an array of impactful and exciting applications like customer lifetime valuation, product recommendation, fraud detection, and productivity improvement via Generative AI.

• 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, GitHub, Sagemaker, SQL, AWS and more - to reveal the 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
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

• 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.
• 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.
• Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with hypothesis testing, classification, clustering, time series, and causal inference.
• 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.

• Currently has, or is in the process of obtaining a Bachelor's Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining Master's Degree, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date
• At least 1 year of experience in open source programming languages for large scale data analysis
• At least 1 year of experience with machine learning
• At least 1 year of experience with relational databases

• Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
• At least 2 years' experience utilizing cloud-based solutions (AWS, Azure, Google Cloud)
• At least 2 years' experience in a broad stack of technologies (Python, GitHub, Sagemaker, SQL, R)
• Experience in advanced statistical modeling and optimization such as causal inference, hypothesis testing, linear regression, logistic regression, generalized additive models, Bayesian statistics, time-series and non-parametric modeling