Senior Manager, Data Science, Bank Operations

About the role

The role of a Data Scientist at Capital One involves partnering with a cross-functional team to deliver products that customers love. This includes leveraging a broad stack of technologies such as Python, Conda, AWS, H2O, Spark, and more to reveal insights from large volumes of data. The responsibilities also extend to building machine learning models throughout the development lifecycle, from design to implementation.

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

• Innovative: Continually research and evaluate emerging technologies, stay current on published state-of-the-art methods, technologies, and applications, and seek out opportunities to apply them.
• Creative: Thrive on bringing definition to big, undefined problems, love asking questions and pushing hard to find answers, and are not afraid to share a new idea.
• A leader: Challenge conventional thinking and work with stakeholders to identify and improve the status quo, passionate about talent development for your own team and beyond.
• Technical: Comfortable with open-source languages, passionate about developing further, have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

Qualifications

• 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

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