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Principal Associate - Data Scientist - Credit Card Acquisitions

Employer
Capital One
Location
Richmond, Virginia
Closing date
Jun 7, 2021

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Job Details

Locations: VA - Richmond, United States of America, Richmond, Virginia

Principal Associate - Data Scientist - Credit Card Acquisitions

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 Machine Learning (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 Machine Learning (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 apply them.
  • 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 back-tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series analysis and more.


Basic Qualifications:
  • Bachelor's Degree plus 2 years of experience in data analytics, or Master's Degree, or PhD
  • 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' experience in Python or Scala
  • At least 3 years' experience with machine learning
  • At least 1 year of experience working with AWS
  • At least 1 year of experience with distributed computing frameworks (Spark, Dask, or Docker).


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

Company

We Don’t Only Think Big Things—At Capital One, We Do Big Things.

You’re dedicated to your career. You deserve professional satisfaction and personal fulfillment. You belong at Capital One.

Here, every day brings another chance to do impactful work that matters: helping millions of customers confidently manage their money, building stronger communities and delivering truly disruptive tech. You’ll give your all alongside some of the brightest, most resilient people in the industry—and in return, you’ll enjoy the growth opportunities, support, flexibility and benefits you need for an exhilarating life both on and off the job.

Be inspired. Be yourself. That’s #LifeAtCapitalOne.

Creating a Culture of Belonging

At Capital One, we value diversity, inclusion and belonging at our core. We’re building a place of belonging—where everyone can feel seen, heard, valued and free to be their authentic selves. We want to be a place of opportunity—where associates from all backgrounds innovate for our customers and communities, and build meaningful, fulfilling careers.

We endeavor to be a welcoming and inspiring place for all. We seek and embrace diversity. And we’re committed to having a diverse and inclusive workforce, focused on increasing the representation of underrepresented groups, strengthening our culture of inclusion and belonging and harnessing our scale to invest in our communities.

We’re focused on three core principles to advance diversity, inclusion and belonging across Capital One:

Create a culture of belonging where everyone can thrive and innovate

Attract and develop talent from all backgrounds and experiences

Ensure our systems and programs promote fairness and equity

Get a career with more at Capital One.  Discover it for yourself today.

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status.

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