Principal Associate, Data Science

Capital One

Richmond, VA, US
Richmond, va: $147,100 - $167,900; mclean, va: $16...
Python
AWS
Spark
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

Job Summary

  • 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 Retail Bank Customer Protection Data Science team has a relentless focus on innovation with a passion for improving customer experiences around fraud prevention.
  • Leverage a broad stack of technologies — Python, Conda, AWS, Spark, Gremlin, NeptuneDB, and more — to build knowledge graphs and graph algorithms that uncover hidden connections in structured and unstructured data.

Matching Summary

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.

Salary

Richmond, VA: $147,100 - $167,900; McLean, VA: $161,800 - $184,600; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Python
  • AWS
  • Spark
  • SQL
  • Knowledge Graphs
  • Graph Algorithms

Nice-to-have

  • Customer first mindset
  • Innovative technology research
  • Open-source language passion
  • Big data analysis skills

Key Requirements

  • Bachelor's Degree + 5 years data analytics
  • Master's Degree + 3 years data analytics
  • PhD + 3 years data analytics
  • 3+ years Knowledge Graphs experience
  • 1+ year Graph database management
  • 1+ year Graph query languages
  • 1+ year AWS experience
  • 3+ years Python, Scala, or R
  • 3+ years SQL experience

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter