Principal Data Scientist, Consumer Identity Machine Learning at Capital One

McLean, Virginia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, FintechIndustries

Requirements

Currently has, or is in the process of obtaining, a Bachelor's Degree (or equivalent) with expectation of completion on or before start date
Innovative: Continually researches and evaluates emerging technologies, stays current on state-of-the-art methods, technologies, and applications, and seeks opportunities to apply them
Creative: Thrives on defining big, undefined problems, loves asking questions, pushing for answers, and sharing new ideas
Technical: Comfortable with open-source languages, passionate about further development, hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Statistically-minded: Experience building, validating, and back-testing models; knows how to interpret confusion matrix or ROC curve; experience with clustering, classification, sentiment analysis, time series, and deep learning
Data guru: Skills to retrieve, combine, and analyze "big data" from various sources and structures; understands that data understanding is key to great data science

Responsibilities

Explore billions of clickstream events to discover patterns in customer behavior and model key customer outcomes
Develop real-time models using vast amounts of customer data to anticipate needs and deliver right options at the right time
Develop models to ensure accuracy of important customer data, fighting fraud and bad behavior while enabling seamless digital experiences
Build machine learning models through all phases: design, training, evaluation, validation; partner with engineering to improve operationalization in scalable, resilient production systems serving 50+ million customers
Partner with business and product teams to conduct experiments guiding improvements to customer experiences and business outcomes in marketing, servicing, and fraud prevention
Write software (e.g., Python) to collect, explore, visualize, and analyze numerical and textual data (billions of transactions, clicks, payments) using tools like Spark
Work at all phases of the data science life cycle

Skills

Key technologies and capabilities for this role

Machine LearningData ScienceStatistical ModelingClickstream AnalysisReal-time ModelingCustomer Behavior ModelingFraud DetectionPythonSQL

Questions & Answers

Common questions about this position

What kind of work arrangement does this role offer?

This information is not specified in the job description.

What is the salary or compensation for this Principal Data Scientist position?

This information is not specified in the job description.

What skills are required for the Principal Data Scientist role?

The role requires building machine learning models through all phases of development, partnering with business and product teams to conduct experiments, and writing software in Python to collect, explore, visualize, and analyze large-scale data using tools like Spark.

What is the team culture like for Consumer Identity ML?

The Consumer Identity ML team is part of Capital One’s AI foundation organization, partnering closely with product and engineering teams to deliver real-time, personalized customer experiences and build data and modeling platforms for deep customer understanding.

What makes an ideal candidate for this Principal Data Scientist position?

The ideal candidate is innovative, continually researching emerging technologies and state-of-the-art methods, and creative, thriving on defining big, undefined problems.

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 Data Scientist, Consumer Identity Machine Learning at Capital One

Requirements

Responsibilities

Skills

Questions & Answers

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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