Senior Associate, Data Scientist - Applied AI 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 Services, BankingIndustries

Requirements

Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 2 years of experience performing data analytics, or a Master's Degree in a quantitative field or MBA with quantitative concentration (required degree expected by start date)
Comfortable with open-source languages (e.g., Python, Scala, R) and passionate about developing further; at least 2 years’ experience in Python, Scala, or R (preferred)
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms (e.g., AWS preferred)
Experience building, validating, and backtesting models; knowledge of statistical concepts like confusion matrix, ROC curve; experience with clustering, classification, sentiment analysis, time series, deep learning, and machine learning (at least 2 years’ experience preferred)
Skills to retrieve, combine, and analyze big data from various sources and structures
Prior experience in AI, information retrieval, or NLP (preferred)
Passion for Generative AI with prior experience in AI from professional or academic background; deep interest in techniques like RAG, Context Engineering, Prompt Engineering, and LLM Fine Tuning
Innovative mindset: continually researches and evaluates emerging technologies, stays current on state-of-the-art methods
Creative: thrives on defining big problems, asks questions, shares new ideas
Strong interpersonal skills to translate complex work into business goals
Master's Degree or PhD in STEM field (preferred)

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 huge volumes of numeric and textual data
Build machine learning models through all phases: design, training, evaluation, validation, and implementation
Enable Generative AI capabilities within the Commercial Bank using cutting-edge techniques such as Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning

Skills

Python

Conda

AWS

H2O

Spark

Retrieval Augmented Generation

Prompt Engineering

LLM Fine Tuning

Generative AI

Machine Learning

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

Senior Associate, Data Scientist - Applied AI 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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