Principal Associate, Data Scientist - SBB Marketing & Deposit Strategy

Capital One • McLean, VA

2d

About The Position

Capital One’s Small Business Bank (SBB) Data Science team partners across the organization to optimize 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 help entrepreneurs succeed.

The Principal Associate, Data Scientist will work with data scientists, software engineers, and product managers to develop data science solutions. The role uses technologies such as Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data, build machine learning models through design, training, evaluation, validation, and implementation, and translate technical findings into business goals. The work focuses on customer engagement, retention, and improving the overall customer experience.

Requirements

• Currently hold, or be obtaining by the scheduled start date, a bachelor's degree in a quantitative field plus 5 years of data analytics experience; a master's degree in a quantitative field or an MBA with a quantitative concentration 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 model evaluation measures such as confusion matrices and 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.
• At least 3 years of experience with machine learning and statistical modeling.
• At least 3 years of experience with Python, Dask, Spark, or similar tools.
• At least 3 years of experience with SQL.

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 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.
• Continually research and evaluate emerging technologies and stay current with state-of-the-art methods, technologies, and applications.

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 the complexity of data science work into tangible business goals.
• Develop modeling solutions and conduct analyses to drive customer engagement, improve retention, and elevate the customer experience.

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