Principal Associate, Data Scientist

Principal Associate, Data Scientist

The Retail Bank Customer Protection Data Science team focuses on preventing fraud and protecting customers through data-driven strategies. The team leverages SQL and Python-centric methods to build models and improve existing fraud defenses.

• Leverage a broad stack of technologies — Python, Conda, AWS, Spark, Gremlin, Neptune
  
  DB, and more — to build knowledge graphs and graph algorithms that uncover hidden connections in structured and unstructured data
• Pilot graph modeling algorithms through all phases of development, from design through training, evaluation, validation, and implementation
• Connect your deep technical modeling expertise to the pressing business goals of our fraud prevention strategy partners to create exciting solutions to demanding challenges
• Partner with a cross‑functional team of data scientists, software engineers, business analysts, and product managers to deliver industry‑leading fraud defenses

• 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.
• 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.

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

• 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 with Knowledge Graphs or similar data
• At least 1 year experience working with Graph database management (Neptune
  
  DB, Neo4j, etc)
• At least 1 year experience working with Graph query languages (Gremlin, Cypher, etc)
• 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 SQL

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

Salary range:
Richmond, VA – $147,100 - $167,900;
McLean, VA – $161,800 - $184,600.

Role is eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives (LTI).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.