Principal Associate, Data Scientist - US Card (New To Credit Team) at Capital One

McLean, Virginia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

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)
Skills to retrieve, combine, and analyze data from a variety of sources and structures
Experience building, validating, and backtesting models; interpreting confusion matrices or ROC curves
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Comfortable with open-source languages (e.g., Python) and hands-on experience developing data science solutions using open-source tools and cloud computing platforms (e.g., AWS)
Strong interpersonal skills to translate complex work into tangible business goals
Customer-focused mindset

Responsibilities

Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Leverage technologies such as Python, Conda, AWS, Spark, Kubeflow Pipelines to analyze huge volumes of numeric and textual data and reveal insights
Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-loved products
Develop machine learning models for marketing, risk, and valuation to support informed marketing and underwriting decisions
Conduct thorough statistical analysis to generate insights influencing business strategies
Collaborate with data scientists, business analysts, and software engineers on all stages of model development

Skills

Python

Conda

AWS

Spark

Kubeflow Pipelines

Machine Learning

Statistical Modeling

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

Principal Associate, Data Scientist - US Card (New To Credit Team) at Capital One

Requirements

Responsibilities

Skills

Capital One

About Capital One

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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