Capital One is looking for a Data Scientist to defend the company against model failures and find new ways of making better decisions with models, using data-driven decision-making to help everyday people save money, time and agony in their financial lives.
Requirements
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
- At least 4 years’ experience in Python, Scala, or R for large scale data analysis
- At least 4 years’ experience with machine learning
- At least 4 years’ experience with predictive modeling
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
Responsibilities
- Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data
- Build statistical and machine learning models to challenge the models in production
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Partner with a best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company’s bottom line in a meaningful way.
- Develop statistical and machine learning models to challenge the models in production.
- Leverage a broad stack of technologies to reveal the insights hidden within huge volumes of numeric and textual data.
Other
- Manager
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love
- You’re comfortable with open-source languages and are passionate about developing further.
- You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
