Principal Associate, Data Scientist - SBB Marketing & Deposit Strategy

Capital One • McLean, VA

1d • $161,800 - $184,600

About The Position

Capital One’s Small Business Bank (SBB) Data Science team partners across the organization to improve the performance and impact of financial products, policies, and services for small-business customers. The team applies statistics, machine learning, and emerging AI technologies to support entrepreneurs and their long-term success.

The Principal Associate, Data Scientist will work with data scientists, software engineers, and product managers to develop customer-focused products and data science solutions. The role uses technologies such as Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data. It involves building machine learning models from design through training, evaluation, validation, and implementation, and translating technical work into business outcomes. Modeling and analysis will support customer engagement, retention, and the overall customer experience.

Requirements

• Currently hold or be pursuing one of the specified quantitative degrees, with any required degree obtained by the scheduled start date.
• Bachelor’s degree in a quantitative field plus 5 years of data analytics experience; or a master’s degree in a quantitative field or quantitatively concentrated MBA plus 3 years of data analytics experience; or a PhD in a quantitative field.
• Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Experience building, validating, and back-testing models, and interpreting measures such as confusion matrices and ROC curves.
• Experience retrieving, combining, and analyzing data from varied sources and structures.

Nice To Haves

• Master’s degree in a STEM field plus 3 years of data analytics experience, or a PhD in a STEM field.
• At least 3 years of experience with machine learning and statistical modeling.
• At least 3 years of experience with Python, Dask, Spark, or similar technologies.
• At least 3 years of experience with SQL.
• At least 1 year of experience working with AWS.
• At least 1 year of experience with deep learning or emerging AI, such as graphs, embeddings, sequence models, or transformer models.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Interest in researching emerging technologies and keeping current with state-of-the-art methods, technologies, and applications.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver products for customers.
• Use technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights from large volumes of numeric and textual data.
• Build machine learning models through design, training, evaluation, validation, and implementation.
• Translate technical work into tangible business goals.
• Develop modeling solutions and conduct analyses to increase customer engagement, improve retention, and elevate the customer experience.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting employee 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