Data Scientist responsible for analytical insights in Lending Analytics and Credit Risk. Utilizing machine learning and data modeling to improve organizational impact while managing credit risk.
About the role
- As a Data Scientist at Capital One, collaborate with cross-functional teams on AI/ML technologies. Drive innovation using big data, impacting customer financial experiences.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform.
Requirements
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- 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 3 years of experience performing data analytics
- PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 1 year of experience working with AWS
- At least 3 years’ experience in Python, SQL
- At least 3 years’ experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.
- At least 3 years’ experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
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