Senior Associate, Data Scientist - Alternative Data Strategy

Capital One • McLean, VA

21h • Hybrid

About The Position

The Alternative Data Strategy team advances credit decisioning by incorporating non-traditional datasets into US Card strategies. The Senior Associate, Data Scientist evaluates emerging vendors and data products, engineers high-impact features, builds scalable data processing and monitoring systems, and serves as the data domain expert for users of these datasets. The role also involves navigating risk governance for vendor models and building challenger models that use new data to improve existing models.

You will work with data scientists, software engineers, and product managers to deliver customer-focused products. Using technologies such as Python, Conda, AWS, H2O, and Spark, you will identify insights in large volumes of numeric and textual data and develop machine learning models through design, training, evaluation, validation, and implementation. You will also communicate technical work in terms of business goals. The position is hybrid and subject to Capital One’s hybrid policy regarding required on-site presence at the designated office.

Requirements

• A bachelor's degree in a quantitative field and at least 2 years of experience performing data analytics, or a master's degree in a quantitative field or an MBA with a quantitative concentration. The required degree may be in progress if it is expected to be obtained on or before the scheduled start date.
• Experience developing data science solutions using open-source tools and cloud computing platforms.
• Experience building, validating, and backtesting models, and interpreting evaluation measures such as confusion matrices and ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.

Nice To Haves

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

Responsibilities

• Evaluate emerging data vendors and data products for use in US Card credit strategies.
• Engineer high-impact features and build scalable data processing and monitoring systems.
• Serve as the data domain expert, guiding users on dataset applications.
• Navigate risk governance for vendor models and build challenger models using new data to enhance existing models.
• Partner with data scientists, software engineers, and product managers to deliver customer-focused products.
• Use data science technologies to uncover insights from large volumes of numeric and textual data.
• Develop machine learning models through design, training, evaluation, validation, and implementation.
• Translate technical work into tangible business goals.

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: Mid Level