Principal Data Scientist, Commercial Banking Data Science

Description

In this role, you will :

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

Leverage a broad stack of technologies Python, AWS, Spark, and more 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

Mine for real time insights hidden in large internal and external datasets that have time and geospatial components to help Capital One and our customers make crucial business decisions.

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

The Ideal Candidate is :

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.

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.

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 1 year of experience working with AWS

At least 3 years’ experience in Python, PyTorch, Scala, or R

At least 3 years’ experience with machine learning

At least 3 years’ experience with SQL

At least 3 years' experience working with natural language processing

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

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) :

$161,900 - $184,800 for Data Science PhD