Senior Associate, Data Scientist - Bureau Data Strategy

Capital One • McLean, VA

8d

About The Position

Capital One’s Bureau Data Strategy team creates highly used datasets from raw credit bureau data and generates insights, extracts value, and shapes how bureau data is used in US Card underwriting. The Senior Associate, Data Scientist partners with data scientists, software engineers, and product managers to build customer-focused products. The role applies machine learning and data science to large volumes of numeric and textual data, using technologies including Python, Conda, AWS, H2O, and Spark. It covers the model development lifecycle from design and training through evaluation, validation, and implementation, and requires translating technical work into business goals.

The role calls for a customer-first approach, leadership in challenging and improving current practices, technical ability with open-source tools and cloud platforms, and the ability to retrieve, combine, and analyze data from varied sources and structures. Capital One may consider sponsoring a qualified applicant for employment authorization. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One also offers a comprehensive benefits package; eligibility varies by employment status and management level.

Requirements

• Currently holds or is pursuing a bachelor's degree in a quantitative field—such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science—plus 2 years of experience performing data analytics; the degree must be obtained on or before the scheduled start date; or holds a master's degree in a quantitative field or an MBA with a quantitative concentration.
• Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Ability to retrieve, combine, and analyze data from a variety of sources and structures.
• Ability to work with large volumes of data.

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 a broad technology stack, 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 technical work into tangible business goals.
• Generate insights from credit bureau data, extract value from it, and help shape how it is used in underwriting.
• Challenge conventional thinking and work with stakeholders to identify and improve the status quo.
• Support talent development within the team and beyond.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
• 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