Director | Data Science
MachinifySalary not specified
Full Time
Expert & Leadership (9+ years)
Principal Associate, Data Scientist - US Card Upmarket Acquisition at Capital One
McLean, Virginia, United States
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 plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
- At least 1 year’s experience in open source programming languages for large scale data analysis
- At least 1 year’s experience with machine learning
- At least 1 year’s experience with relational databases
- Statistically-minded with experience building, validating, and backtesting models; knowledge of interpreting confusion matrix or ROC curve; experience with clustering, classification, sentiment analysis, time series, and deep learning
- Technical proficiency with open-source languages and hands-on experience developing and deploying production-ready data science solutions using open-source tools and cloud computing platforms
- Comfortable handling big data from a variety of sources and structures
- Preferred: Master’s Degree in a STEM field
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights hidden within huge volumes of numeric and textual data
- Build machine learning models from idea to implementation, including designing and executing experiments, developing and iterating on machine learning models, and deploying production-ready solutions that directly impact business outcomes
- Flex interpersonal skills to translate the complexity of work into tangible business goals
Skills
Key technologies and capabilities for this role
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 skills does the ideal candidate have?
The ideal candidate is statistically-minded with experience building, validating, and backtesting models, interpreting metrics like confusion matrices and ROC curves, and working with clustering, classification, sentiment analysis, time series, and deep learning. They are also technical with hands-on experience in open-source languages, cloud platforms, and deploying production-ready data science solutions, plus a customer-first mindset.
What is the salary or compensation for this position?
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 is the team culture like at Capital One's US Card Data Science team?
The team consists of model developers who own the full model lifecycle from development to monitoring and governance, creative problem solvers who challenge the status quo, and collaborators with cross-functional partners like data engineers, product managers, and analysts, all devoted to innovation and building smarter models.
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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