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

Banking, FinanceIndustries

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 data analytics experience, or a Master's Degree in a quantitative field or MBA with quantitative concentration
Comfortable with open-source languages (e.g., Python, Scala, R) and passionate about developing further
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms (e.g., AWS)
Experience building, validating, and backtesting models; interpreting confusion matrix or ROC curve
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Skills to retrieve, combine, and analyze big data from various sources and structures
Deep passion for Generative AI with prior experience in AI from professional or academic background
Preferred: Master’s or PhD in STEM field
Preferred: Experience working with AWS
Preferred: At least 2 years’ experience in Python, Scala, or R
Preferred: At least 2 years’ experience with machine learning
Preferred: At least 2 years’ experience with SQL
Preferred: Prior experience in AI, information retrieval, or NLP

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
Translate complexity of work into tangible business goals using interpersonal skills
Focus on cutting-edge Generative AI techniques: Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning

Skills

Key technologies and capabilities for this role

PythonAWSSparkH2OCondaRAGPrompt EngineeringLLM Fine TuningGenerative AIMachine Learning

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 numeric and textual data.

What are the basic qualifications for this position?

The basic qualifications include currently having, or being in the process of obtaining, one of the specified qualifications (details cut off in the description).

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What qualities make an ideal candidate for this Data Scientist role?

The ideal candidate is innovative, continually researching emerging technologies; creative, thriving on solving big problems; technical with hands-on experience in open-source tools and cloud platforms; statistically-minded with model-building expertise; and a data guru skilled in handling big data from various sources.

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

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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