Capital One Principal Associate Data Scientist - US Card 

United States, Virginia, Arlington 

107735082

Center 1 (19052), United States of America, McLean, Virginia Principal Associate, Data Scientist - US Card

Role Description:

In this role, you will: This role will sit within the Bureau Data Strategy team, which is within Card Data and supports a broad internal customer base. The team is charged with proactively generating insights that drive value creation in Card underwriting.

This high-impact role is uniquely positioned with exposure to tech, modeling, product, and the US Card business teams and it involves: developing credit bureau data and industry subject matter expertise; developing and maintaining strategic partnerships; performing deep dive analysis on credit bureau data; presenting analysis to senior stakeholders; and contributing to production-level monitoring infrastructure.

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.

• 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.

• 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

• 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

New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.