Senior Associate, Data Scientist - US Card DFS Integration

Capital One • Chicago, IL

2d

About The Position

The Senior Associate, Data Scientist will join Capital One’s Discover Card Customer Management Data Science team. The team ensures models used to underwrite the Discover Card portfolio are well managed and develops a destination state combining strengths from Discover’s and Capital One’s models.

The role partners with data scientists, software engineers, and product managers to deliver customer-focused products. It uses technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data, and builds machine learning models across design, training, evaluation, validation, and implementation. The position also requires communicating complex concepts effectively.

The ideal candidate is customer-focused, creative in addressing open-ended problems, statistically minded, and skilled at retrieving, combining, and analyzing data from varied sources and structures. The position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

Requirements

• A bachelor’s degree in a quantitative field—such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, or a related quantitative field—and 2 years of experience performing data analytics; the degree may be in progress if expected to be obtained on or before the scheduled start date; or a master’s degree in a quantitative field or an MBA with a quantitative concentration.
• Experience building, validating, and backtesting models, and interpreting confusion matrices or ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Ability to retrieve, combine, and analyze data from varied sources and structures.

Nice To Haves

• Master’s degree in a STEM field or PhD in a STEM field.
• Experience working with AWS.
• At least 2 years of experience in Python, Scala, or R.
• At least 2 years of experience with machine learning.
• At least 2 years of experience with SQL.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver products customers love.
• Use technologies including Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data.
• Build machine learning models through design, training, evaluation, validation, and implementation.
• Translate complex information for others.
• Retrieve, combine, and analyze data from a variety of sources and structures.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies based on employment status and management level.
• Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior