Senior Data Scientist - Commercial Banking Analytics

Capital One; McLean (VA); On-site; USD 135,600 - 154,800; Full time

Benefits offered by this job

Performance-based incentives

Job summary

Capital One is seeking a Senior Associate, Data Scientist for Commercial Bank Strategy & Analytics in McLean, VA. The role focuses on building data-driven insights using Python, AWS, and open-source tools to inform decisions across a $100B+ loan portfolio.

You will collaborate across data scientists, engineers, and product managers to deliver high-impact ML solutions. The ideal candidate is innovative, technically adept, and experienced with clustering, classification, time series, sentiment

Qualifications

• A Bachelor's Degree in a quantitative field plus 2 years of data analytics experience; or
• A Master's Degree in a quantitative field (or MBA with quantitative concentration) with relevant experience; and

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights from large volumes of numeric and textual data.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals and outcomes.

Skills

Python

AWS

H2O

Spark

Conda

Machine learning

SQL

Education

Bachelor's degree in a quantitative field

Master's degree in STEM or MBA with quantitative concentration

Tools

Spark

H2O

Conda

Job description

Capital One is seeking a Senior Associate, Data Scientist for Commercial Bank Strategy & Analytics in McLean, VA. The role focuses on building data-driven insights using Python, AWS, and open-source tools to inform decisions across a $100B+ loan portfolio.

You will collaborate across data scientists, engineers, and product managers to deliver high-impact ML solutions. The ideal candidate is innovative, technically adept, and experienced with clustering, classification, time series, sentiment