Senior Data Scientist
AngiSalary not specified
Full Time
Senior (5 to 8 years)
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)
- Preferred: Master’s Degree 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
- Innovative: 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
- Technical: Comfortable with open-source languages, hands-on experience with data science solutions using open-source tools and cloud platforms
- Statistically-minded: Experience building, validating, and backtesting models; interprets confusion matrix, ROC curve; experience with clustering, classification, sentiment analysis, time series, deep learning
- Passionate about AI with prior experience applying AI/ML in finance (professional or academic)
- 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 (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, implementation
- Mine real-time insights from large internal and external datasets to support business decisions for Capital One and customers
- Work end-to-end from concept to production, focused on experimentation, predictive modeling, and generative AI in Commercial Banking use cases
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What technologies will I be working with in this Data Science 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 define the ideal candidate for this position?
The ideal candidate is innovative, continually researching emerging technologies; creative, thriving on undefined problems; technical, with hands-on experience in open-source tools and cloud platforms; and statistically-minded, experienced in building, validating, and backtesting models.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
What experience makes a strong candidate for this Data Science role?
Prior experience applying AI/ML in finance from a professional or academic background, along with deep passion for AI, hands-on development of data science solutions using open-source tools and cloud platforms, and expertise in machine learning techniques like clustering, classification, sentiment analysis, time series, and deep 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
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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