Senior Manager – Data Science
| Company | Capital One |
|---|---|
| Location | Plano, TX, USA, McLean, VA, USA, Richmond, VA, USA, Charlotte, NC, USA, New York, NY, USA |
| Salary | $204900 – $280600 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, MBA, PhD |
| Experience Level | Senior |
Requirements
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics; A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics; A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
- At least 2 years of experience leveraging open source programming languages for large scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
Responsibilities
- Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers
- Communicate technical subject matter clearly and concisely to individuals from various backgrounds
- Partner with the various lines of business to enhance modeling and analytical framework
- Work across Capital One entities to create novel analytical solutions to challenging business problems
- Identify opportunities to apply quantitative methods, machine learning, and automation solutions to improve business performance and process efficiencies
- Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data.
Preferred Qualifications
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 1 year of experience managing people
- At least 5 years’ experience in Python, Scala, or R for large scale data analysis
- At least 5 years’ experience with machine learning
- At least 1 year of experience with advanced machine learning technologies including language models, LLMs and/or Generative AI technologies