Senior Associate, Data Scientist - US Card DFS Integration

Capital One • Chicago, IL

3d • $123,300 - $140,700

About The Position

Capital One is seeking a Data Scientist for the Discover Card Customer Management Data Science team. The team ensures that models used to underwrite the Discover Card portfolio are well-managed and develops a destination state that combines strengths from Discover’s and Capital One’s models. The role involves collaborating with data scientists, software engineers, and product managers to deliver customer-focused products; using technologies such as Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data; and developing machine-learning models from design through training, evaluation, validation, and implementation. The position also requires communicating complex concepts effectively. The ideal candidate is customer-focused, creative, statistically minded, and skilled at retrieving, combining, and analyzing data from varied sources and formats.

Requirements

• Currently has, or is obtaining with the required degree expected by the scheduled start date, a bachelor's degree in a quantitative field plus 2 years of experience performing data analytics; or a master's degree in a quantitative field; or an MBA with a quantitative concentration.
• A quantitative field includes Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field.
• 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 a variety of 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 a product 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 concepts using interpersonal and communication skills.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

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