Principal Associate, Data Scientist - Emerging ML at Capital One | San Jose, CA | Rezi

Principal Associate, Data Scientist - Emerging ML at Capital One

Principal Associate, Data Scientist - Emerging ML

Capital One · San Jose, CA

Today

Principal Associate, Data Scientist - Emerging ML

Capital One · San Jose, CA

9 hours ago
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About the Role

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 big opportunities that help everyday people save money, time and agony in their financial lives.

Responsibilities

  • Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
  • Partner closely with a variety of business and product teams across Capital One to conduct experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.
  • Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS.

Requirements

  • Curious and creative, thriving on bringing definition to big, undefined problems.
  • Communicates clearly and effectively to share findings with non-technical audiences.
  • Hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
  • Experience with petabytes of data.
  • Statistically-minded with experience building, validating, and backtesting models.
  • Knowledge of how to interpret a confusion matrix or a ROC curve.
  • Experience with clustering, classification, sentiment analysis, time series analysis and deep learning.
  • Customer and product oriented with a passion for changing banking for good.

Skills

  • Python
  • Scala
  • Spark
  • AWS
  • Machine learning
  • SQL
  • Embeddings
  • Foundation Models

Location

  • McLean, VA
  • New York, NY
  • San Jose, CA

Work Type

  • Full-time

Experience Level

  • 5 years of experience performing data analytics (with Bachelor's Degree)
  • 3 years of experience performing data analytics (with Master's Degree or MBA)
  • 3 years of experience in data analytics (with Master's Degree in STEM)
  • 3 years of experience in data analytics (with PhD in STEM)
  • 3 years of experience in Python, Scala, or R
  • 3 years of experience with machine learning
  • 3 years of experience with SQL

Education Level

  • Bachelor's Degree in a quantitative field
  • Master's Degree in a quantitative field
  • MBA with a quantitative concentration
  • PhD in a quantitative field
  • Master’s Degree in STEM field
  • PhD in STEM field

Salary/Compensations

  • McLean, VA: $161,800 - $184,600
  • New York, NY: $176,500 - $201,400
  • San Jose, CA: $176,500 - $201,400

Benefits

  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

  • Data is at the center of everything we do.
  • Disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database.
  • A Fortune 200 company and a leader in the world of data-driven decision-making.
  • Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization.
  • Focuses on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models.
  • Partners closely with product and engineering teams to connect emerging technologies with business critical use cases across Capital One’s lines of business.

Equal Opportunity

  • 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.
  • If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.