Principal Associate- Data Science, Technology Operations

Employer
Capital One
Location
McLean, Virginia
Posted
Jun 16, 2021
Closes
Jul 15, 2021
Ref
R108093
Function
Finance
Hours
Full Time
7900 Westpark Drive (12131), United States of America, McLean, Virginia

Principal Associate- Data Science, Technology Operations

Data is at the center of everything we do. 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'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.

The Tech Ops team builds machine learning models that enable us to vastly improve the way in which we respond to technology failures across the enterprise. In this role, we will be leveraging techniques from anomaly detection and causal inference to quickly detect a failure, determine why it happened, and recommend actions to remediate.

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, Conda, AWS, H2O, 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
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals


The Ideal Candidate is:
  • 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.
  • 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.
  • 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.
  • A data guru. "Big data" doesn't phase 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:
  • Bachelor's Degree plus 5 years of experience in data analytics, or Master's Degree plus 3 years in data analytics, 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 1 year of experience working with AWS
  • At least 3 years' experience in Python, Scala, or R
  • At least 3 years' experience with machine learning
  • At least 3 years' experience with SQL


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

Similar jobs