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Jobs · Engineering · Virginia

Manager, Data Scientist - Card Mainstreet

Capital One · Richmond, VA · 1 mo ago
Engineering$197k–$225k/yrFull-time

About the role

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 relational databases in 1988. That innovation and our passion for data have grown us into a Fortune 200 company and a leader in data‑driven decision‑making. As a Data Scientist at Capital One, you’ll join a team that is leading the next wave of disruption at massive scale, using cutting‑edge computing and machine learning technologies across billions of customer records to create products that help everyday people save money, time, and frustration.

Responsibilities

  • 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 uncover 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.
  • Translate the complexity of your work into tangible business goals using strong interpersonal skills.

Ideal Candidate

  • Customer‑first mindset; prioritizes decisions that benefit customers.
  • Innovative; continuously researches emerging technologies and applies state‑of‑the‑art methods.
  • Creative; thrives on defining and solving large, undefined problems and shares new ideas.
  • Leader; challenges conventional thinking, collaborates with stakeholders, and mentors talent.
  • Technical; proficient with open‑source languages and cloud platforms, and builds data‑science solutions.
  • Statistically‑minded; experienced in model building, validation, back‑testing, and interpreting metrics such as confusion matrices and ROC curves.
  • Data guru; comfortable retrieving, combining, and analyzing “big data” from diverse sources.

Basic Qualifications

  • Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 6 years of data‑analytics experience, or Master’s degree in a quantitative field (or MBA with quantitative concentration) plus 4 years of data‑analytics experience, or PhD in a quantitative field plus 1 year of data‑analytics experience.
  • At least 1 year of experience leveraging open‑source programming languages for large‑scale data analysis.
  • At least 1 year of experience working with machine learning.
  • At least 1 year of experience utilizing relational databases.

Preferred Qualifications

  • PhD in a STEM field plus 3 years of data‑analytics experience.
  • At least 1 year of experience working with AWS.
  • At least 4 years of experience in Python, Scala, or R for large‑scale data analysis.
  • At least 4 years of experience with machine learning.
  • At least 4 years of experience with SQL.

Pay

  • McLean, VA: $197,300 – $225,100 (Mgr, Data Science)
  • New York, NY: $215,200 – $245,600 (Mgr, Data Science)
  • Richmond, VA: $179,400 – $204,700 (Mgr, Data Science)
  • Other locations: salary range will correspond to the local pay band for the role.
  • Eligibility for performance‑based incentive compensation, including cash bonuses and/or long‑term incentives.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt status, and management level.

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