Capital One is looking to solve the problem of fraud by building machine learning models that protect customers and the company from fraudulent activities across various stages of the customer journey.
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 1 year of experience working with AWS
- 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 SQL
Responsibilities
- 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
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Continuously research and evaluate emerging technologies.
- Stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Retrieve, combine, and analyze data from a variety of sources and structures.
- Develop data science solutions using open-source tools and cloud computing platforms.
Other
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing.
- Innovative. You continually research and evaluate emerging technologies.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
