Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
About the role
- Senior Data Scientist at Capital One leveraging generative AI and machine learning to drive data-driven decision-making. Engaging in deep learning solutions with unstructured data for internal customers.
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
Requirements
- 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 or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
- A PhD in a 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
Benefits
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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