Data Scientist
JerrySalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Principal Associate, Data Science- Retail Bank Marketing at Capital One
McLean, Virginia, United States
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Banking, Retail Banking, MarketingIndustries
Requirements
- Currently has, or is in the process of obtaining, one of the following: A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of experience performing data analytics; A Master’s Degree in a quantitative field or MBA with quantitative concentration plus 3 years of experience performing data analytics; A PhD in a quantitative field
- 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
- Data guru skilled in retrieving, combining, and analyzing big data from various sources and structures
- At least 3 years’ experience in Python or R (Preferred)
- Master’s Degree in STEM field plus 3 years of experience in data analytics, or PhD in STEM field (Preferred)
- Creative, thrives on defining big problems, asking questions, sharing ideas
- Leader who challenges conventional thinking, works with stakeholders to improve status quo, passionate about talent development
- Strong interpersonal skills to translate complex work into business goals
Responsibilities
- Partner with cross-functional team of data scientists, software engineers, and product managers to deliver customer-loved products
- Leverage technologies including 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
- Flex interpersonal skills to translate complex work into tangible business goals
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What technologies will I use in this data science role?
You will leverage Python, Conda, AWS, H2O, Spark, and more to analyze huge volumes of numeric and textual data and build machine learning models.
What are the basic qualifications for this position?
Currently has, or is in the process of obtaining one of the following with an expectation that the degree will be completed prior to starting.
What does the marketing data science team do?
The team builds machine learning models to optimize marketing efficiency, including spend on digital channels, optimal product and channel for each customer, estimated value of new accounts, and forecasting impact of new initiatives.
What qualities make an ideal candidate for this role?
The ideal candidate is creative in solving big problems, a leader who challenges thinking and develops talent, statistically-minded with experience in model building and validation, and a data guru skilled in handling big data from various sources.
Is this a remote position or does it require office work?
This information is not specified in the job description.
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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