Senior Manager Data Scientist

Locations: VA - McLean, United States of America, McLean, Virginia

Senior Manager Data Scientist

Senior Manager, Data Science - Consumer Credit Risk Management Models and Data

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist 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 the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

In the Consumer Credit Risk Management Models and Data Team, we blend cutting-edge quantitative methods, with a deep understanding of our business, data, and regulatory environment to build and deploy predictive models for losses, account volumes and outstanding balances. These models drive key strategic decisions for loss allowances, stress testing, and capital allocation as well as informing our earnings calls and recession preparedness.

If this sounds interesting to you, join us! As a Data Scientist on the deployment & platform side of the team, you'll be at the forefront helping us to usher in the next wave of disruption by using the latest technology to deploy, optimize and modernize model pipelines and execution platforms that enable machine learning models to provide powerful insights about our portfolio and growth opportunities through new data sources.

Role Description

In this role, you will:

1. Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

2. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data

3. Build, optimize and deploy machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

4. Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

1. 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.

2. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

3. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.

4. 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.

Basic Qualifications:

1. Currently has, or is in the process of obtaining a Bachelor's Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date

2. At least 3 years' experience in open source programming languages for large scale data analysis

3. At least 3 years' experience with machine learning

4. At least 3 years' experience with relational databases

Preferred Qualifications:

1. PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics

2. At least 1 year of experience working with AWS

3. At least 1 year of experience managing people

4. At least 5 years' experience in Python, Scala, or R for large scale data analysis

5. At least 5 years' experience with machine learning

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

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.