Senior Associate, Data Scientist - Alternative Data Strategy

Capital One • McLean, VA

2d • $135,600 - $168,900 • Hybrid

About The Position

Capital One’s 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 features, builds scalable data processing and monitoring systems, and acts as a data-domain expert who guides users on dataset applications. The role also involves navigating risk governance for vendor models and building challenger models that use new data to enhance existing models.

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

Requirements

• Currently hold or be in the process of obtaining, 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.
• Quantitative fields include Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field.

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

• Evaluate emerging data vendors and data products for use in US Card credit strategies.
• Engineer high-impact features using alternative datasets.
• Build scalable data processing and monitoring systems.
• Serve as the data-domain expert and guide users on dataset applications.
• Navigate risk governance for vendor models and build challenger models using new data.
• Partner with data scientists, software engineers, and product managers to deliver customer-focused products.
• Analyze large volumes of numeric and textual data using technologies such as Python, Conda, AWS, H2O, and Spark.
• Develop machine learning models through design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Eligibility for 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