Principal Associate Data Scientist

Recruiting: NY - New York, United States of America, New York, New York

Principal Associate Data Scientist

Principal Associate, Data Scientist - 

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. 

The role:

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.

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