Senior Data Scientist
AngiSalary not specified
Full Time
Senior (5 to 8 years)
Manager, Data Scientist - US Card (Business Card & Payments Fraud) at Capital One
McLean, Virginia, United States
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Banking, FintechIndustries
Requirements
- Currently has, or is in the process of obtaining, one of the following:
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 6 years of data analytics experience
- Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or MBA with quantitative concentration plus 4 years of data analytics experience
- PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 1 year of experience
- Innovative: Continually researches and evaluates emerging technologies, stays current on state-of-the-art methods
- Creative: Thrives on defining big, undefined problems, asks questions, pushes for answers, shares new ideas
- Leader: Challenges conventional thinking, works with stakeholders to improve status quo, passionate about talent development
- Technical: Comfortable with open-source languages, hands-on experience developing data science solutions using open-source tools and cloud computing platforms
- Statistically-minded: Experience building, validating, and backtesting models; interprets confusion matrix or ROC curve; experience with clustering, classification, sentiment analysis, time series, and deep learning
- Data guru: Handles big data, retrieves, combines, and analyzes data from various sources and structures
Responsibilities
- Own the data science strategy for the Business Cards and Payments Fraud Modeling team
- Coordinate directly with business leadership to understand unique fraud risks and architect effective modeling solutions
- Lead initiatives to align models with the core Card Fraud ecosystem
- Spearhead the development of novel feature inputs
- Partner with cross-functional team of data scientists, software engineers, and product managers to deliver customer-loved products
- Leverage technologies (Python, Conda, AWS, H2O, Spark, etc.) 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
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 technical skills are required for the ideal candidate?
The ideal candidate is comfortable with open-source languages, has hands-on experience with data science solutions using open-source tools and cloud computing platforms, and is statistically-minded with experience building, validating, and backtesting models including clustering, classification, sentiment analysis, time series, and deep learning.
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 qualities make the ideal candidate for this manager role?
The ideal candidate is innovative, continually researching emerging technologies; creative, thriving on solving big undefined problems; a leader who challenges conventional thinking and develops talent; technical with open-source and cloud experience; statistically-minded; and a data guru comfortable with big data.
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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