Lead Data Scientist
HumanaSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Banking, Financial ServicesIndustries
Requirements
- Currently has, or is in the process of obtaining, one of the following with expectation of degree completion by start date: Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 7 years of data analytics experience; Master's Degree in a quantitative field or MBA with quantitative concentration plus 5 years of data analytics experience; PhD in a quantitative field plus 2 years of data analytics experience
- At least 2 years of experience leveraging open source programming languages (e.g., Python) for large scale data analysis
- At least 2 years of experience in data analytics (implied from degree/experience combinations)
- Deep passion for AI with prior professional experience applying AI/ML in finance
- Statistically-minded with experience building, validating, and backtesting models; familiarity with confusion matrix, ROC curve, clustering, classification, sentiment analysis, time series, and deep learning
- Innovative: continually researches and evaluates emerging technologies, stays current on state-of-the-art methods
- Creative: thrives on defining big undefined problems, asks questions, shares new ideas
- Leader: challenges conventional thinking, works with stakeholders to improve status quo, passionate about talent development
Responsibilities
- Partner with cross-functional team of data scientists, software engineers, and product managers to deliver high impact AI-infused transformations to the Commercial Bank
- Leverage technologies such as Python, AWS, Spark to reveal insights from huge volumes of numeric and textual data
- Build machine learning and generative AI solutions through all phases: design, training, evaluation, validation, and implementation
- Mine for real-time insights in large internal and external datasets to support crucial business decisions for Capital One and customers
- Translate complexity of work into tangible business goals using interpersonal skills
- Work end-to-end from concept to production, focused on experimentation, predictive modeling, and generative AI for Commercial Banking use cases
Skills
Python
AWS
Spark
Machine Learning
Generative AI
Predictive Modeling
Statistical Modeling
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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