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Job Details


Capital One

Senior Manager, Data Science - Auto Finance (R119494)

Business and Financial Operations

All

Yearly

Full Time

No

Plano, Texas, United States

Plano 1 (31061), United States of America, Plano, Texas

Senior Manager, Data Science - Auto Finance

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.

Capital One's Auto Finance business has been growing massively year over year on the heels of a robust strategic agenda advancing our technological capabilities to bring the best possible experience to our customers. We face the unique challenge of building products to directly serve dealerships and consumers, while also building robust modeling systems to manage our lending risks. Starting in 2019 and continuing over the next few years, Auto Finance is re-imagining our credit infrastructure to enable and deploy in the market fully personalized as well as fully optimized (across all credit policy and pricing levers) underwriting decisioning for every applicant. The Data Science team is driving innovation at every stage of business strategy, product development, and program management, including marketing, underwriting, pricing, valuation, loss forecasting, image recognition, and text analytics.

In this role, you will:

  • You will be part of a cross-functional team of data scientists, business analysts, and software engineers to deliver world-class analytical or modeling solutions to solve complex business problems

  • Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more to stay up-to-date on the latest cutting-edge technologies — 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

The Ideal Candidate is:

  • 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 clustering, classification, sentiment analysis, time series, and deep learning.

  • 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.

Basic Qualifications:

  • Bachelor’s Degree plus 7 years of experience in data analytics, or Master’s Degree plus 5 years of experience in data analytics, or PhD plus 2 years of experience in data analytics

  • At least 3 years’ experience in open source programming languages for large scale data analysis

  • At least 3 years’ experience with machine learning

  • At least 3 years’ experience with relational databases

Preferred Qualifications:

  • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics

  • At least 1 year of experience working with AWS

  • At least 1 year of experience managing people

  • At least 5 years’ experience in Python, Scala, or R for large scale data analysis

  • At least 5 years’ experience with machine learning

  • At least 1 year of experience in one of the following statistical models: linear regression, logistic regression, tree-based modeling, generalized additive models, Bayesian statistics, time-series, non-parametric, optimization, experimental design

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-[Register to View] or via email at [Register to View] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [Register to View] [Register to View] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).