Description
As a Principal Associate Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption, using the latest in computing and machine learning technologies to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.
The Bank Customer Protection Debit & Claims Data Science team builds machine learning models that help customers spend safely and get back on track if an issue occurs with their payments. You'll leverage a broad stack of technologies , Python, Conda, AWS, H2O, Spark, SQL, and more , to reveal insights hidden within huge volumes of numeric and textual data.
In this role, you'll:
- Partner with a cross-functional team to deliver a product that measurably keeps customers safe from fraudulent activities.
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
- Translate complex work into tangible business goals.
The ideal candidate is customer-focused, creative, statistically-minded, and a data guru. They have experience with machine learning, Python, SQL, and large-scale data processing.
Basic qualifications include a Bachelor's, Master's, or PhD in a quantitative field, with relevant experience in data analytics.
Preferred qualifications include a Master's or PhD in a STEM field, experience with machine learning, Python, SQL, and large-scale data processing.
This role is eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives. Capital One offers a comprehensive set of health, financial, and other benefits.