Principal Associate, Data Scientist - US Card (Bureau Data Team)

Center 1 (19052), United States of America, McLean, Virginia

Principal Associate, Data Scientist - US Card (Bureau Data Team)

At Capital One, data is at the center of everything we do. When we launched 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 will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. 

Role Description:

Credit bureau data is at the heart of underwriting decisions at US Card. This role is with the Bureau Data Strategy team, and supports a broad customer base in Card Data. The team is responsible for generating insights and extracting value from Bureau Data .

This role exposes you to tech, modeling, product, and the US Card business teams and it involves: developing credit bureau data SME; creating insightful features from bureau data; developing and maintaining strategic partnerships with stakeholders; performing deep dive analysis on credit bureau data and presenting to senior LT members; and improving key production infrastructure.

Our ideal candidate:

• 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.

• 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.

• 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.

• A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, 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

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 of experience with machine learning

• At least 3 years of experience with Spark

• At least 3 years of experience with SQL

• At least 1 year of experience with AWS

• At least 3 years of experience with Python, including Object Oriented Programming, unit testing, and design patterns

• At least 3 years of experience with data storytelling and presenting to senior leadership

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $165,100 - $188,500 for Princ Associate, Data Science