Manager, Data Scientist, Card Mainstreet

About the Role

Data is central to everything we do. As a Data Scientist at Capital One, you will be part of a team leading disruption by using the latest computing and machine learning technologies across billions of customer records to unlock opportunities that help people save money, time, and agony in their financial lives.

Key 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, including Python, Conda, AWS, H2O, Spark, to reveal insights from large volumes of numeric and textual data.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Translate the complexity of your work into tangible business goals.

Requirements & Tech Stack

• Python, Conda, AWS, H2O, Spark
• Machine learning models
• Relational databases

Qualifications

• Customer first: Passion for analyzing, creating, and making the right decisions for customers.
• Innovative: Continually research and evaluate emerging technologies and stay current on state-of-the-art methods.
• Creative: Thrive on bringing definition to big, undefined problems and sharing new ideas.
• Leader: Challenge conventional thinking and work with stakeholders to improve the status quo; passionate about talent development.
• Technical: Comfortable with open-source languages and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded: Experience building, validating, and backtesting models; interpret confusion matrices or ROC curves; experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Data guru: Skills to retrieve, combine, and analyze data from various sources and structures.

Basic Qualifications

• Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 6 years of experience performing data analytics.

OR

• Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.

OR

• PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 1 year of experience performing data analytics.
• 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.

Preferred Qualifications

• PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
• 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.