Principal Associate, Data Scientist - US Card Acquisitions at Capital One

McLean, Virginia, United States

Capital One Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, BankingIndustries

Requirements

  • Customer first mindset, passionate about making right decisions for customers
  • Innovative, continually researches and evaluates emerging technologies, stays current on state-of-the-art methods
  • Technical proficiency with open-source languages (e.g., Python), hands-on experience developing data science solutions using open-source tools and cloud computing platforms (e.g., AWS)
  • Statistically-minded, experience building, validating, and backtesting models; familiar with confusion matrix, ROC curve, clustering, classification, sentiment analysis, time series, and deep learning
  • Data expertise, skilled in retrieving, combining, and analyzing big data from various sources and structures
  • Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience, or Master's Degree in a quantitative field or MBA with quantitative concentration plus 3 years of data analytics experience (or in process with expectation to complete by start date)

Responsibilities

  • Partner with cross-functional team of data scientists, software engineers, and product managers to deliver customer-loved products
  • Leverage technologies like Python, Conda, AWS, H2O, Spark to reveal insights from large volumes of numeric and textual data
  • Build machine learning models through all phases: design, training, evaluation, validation, and implementation
  • Translate complex work into tangible business goals using interpersonal skills
  • Own full model lifecycle: development, deployment, monitoring, governance, usage expansion, and releases
  • Collaborate with data engineers, platform engineers, product managers, credit and business analysts from ideation to implementation
  • Challenge status quo and innovate to make models more dynamic, adaptive, robust, and smarter

Skills

Key technologies and capabilities for this role

PythonCondaAWSH2OSparkMachine LearningStatistical Modeling

Questions & Answers

Common questions about this position

What technologies will I be working with in this role?

You will leverage a broad stack of technologies including Python, Conda, AWS, H2O, Spark, and more to analyze huge volumes of numeric and textual data.

What are the key qualities of the ideal candidate?

The ideal candidate is customer-first, innovative by researching emerging technologies, technically proficient with open-source tools and cloud platforms, and statistically-minded with experience building, validating, and backtesting models.

What does the team do in the US Card Acquisitions group?

The team builds industry-leading machine learning models for core underwriting decisions in acquiring new credit card customers, owning the full model lifecycle from development to monitoring and governance.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

Capital One

Offers diverse financial products and services

About Capital One

Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.

McLean, VirginiaHeadquarters
2014Year Founded
$15.9MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Medical, Dental, & Vision coverage
Onsite Health Centers
Prescription saving with network of local pharmacies
Stock Purchase Plan
Education Assistance
401(k)
Flexible Spending Accounts
Life and Disability insurance
Generous paid time off + corporate & floating holidays
Registered dieticians on site, cooking classes and free virtual fitness classes
Employee Assistance Program

Risks

Increased competition in subscription management tools may dilute Capital One's advantage.
Over-reliance on partnerships could expose Capital One to technological risks.
Departure of key personnel like Joe Rodriguez may affect risk management continuity.

Differentiation

Capital One offers user-friendly banking with no fees or minimums for checking accounts.
The company partners with Khan Academy to provide financial literacy education.
Capital One is the first major U.S. bank to offer subscription management tools.

Upsides

Capital One's mobile app is a model for secure, user-friendly digital banking.
Data sharing with Worldpay enhances payment security and fraud prevention.
Partnerships with fintechs like Minna Technologies improve customer experience.

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