Principal Associate – Data Scientist/ML Engineer – DS+ Card Team

Principal Associate – Data Scientist/ML Engineer – DS+ Card Team

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Company Name:-
Capital One – US

Job Location:-
Richmond, VA

Job Summary:-
Locations: VA – Richmond, United States of America, Richmond, Virginia
Principal Associate – Data Scientist/ML Engineer – DS+ Card Team
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
The Card DS+ team is constantly looking to use the available data and technologies to give our customers the best experience there is in Credit Cards.

This effort includes the entire journey of a customer from being an applicant to being a customer and maintaining a great relationship with Capital One.

This means we are analyzing constantly evolving data every day to build solutions that help us make the best decisions for our customers and their financial well being.

An equally important aspect of the team is to acquire and nurture talent that has helped and will continue to keep us as one of the top companies to work for.

Role Description
In this role, you will:
Deliver ML models that solve a wide variety of problems in the Capital One Card ecosystem by writing highly optimized and robust pipelines for training as well as deployment of the models
Leverage a broad stack of technologies — Python to Scala, Dask to Spark, Sklearn to H2O, AWS, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
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.

Innovative.

You continually research and evaluate emerging technologies.

You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to appl

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