# Principal, Data Scientist - Card Intelligence

**Company**: Capital One
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $161,800 - $184,600
**Category**: Data Science
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Principal--Data-Scientist---Card-Intelligence_R244940-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a45081f6-6d3

## Description

As a Principal Data Scientist at Capital One, you'll lead the next wave of disruption using the latest computing and machine learning technologies across billions of customer records. You'll partner with a cross-functional team to deliver products customers love, leveraging a broad stack of technologies , Python, Conda, AWS, H2O, Spark, and more , to reveal insights hidden within huge volumes of data.

Responsibilities:

- Partner with data scientists, software engineers, and product managers to deliver customer-centric products

- Leverage a broad stack of technologies to analyze large datasets and build machine learning models

- Develop models through all phases, from design to implementation

- Translate complex insights into tangible business goals

- Adhere to Capital One's hybrid policy regarding required on-site presence

The Ideal Candidate:

- Is customer-focused and passionate about doing the right thing

- Continuously researches and evaluates emerging technologies

- Thrives on solving big, undefined problems and pushing boundaries

- Challenges conventional thinking and leads stakeholders to improve the status quo

- Is technically skilled with open-source languages and cloud computing platforms

- Has experience with machine learning, clustering, classification, and deep learning

- Is a data guru with skills to retrieve, combine, and analyze data from various sources

Basic Qualifications:

- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) plus 5 years of data analytics experience

- Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of data analytics experience

- PhD in a quantitative field

Preferred Qualifications:

- Master's Degree in STEM field plus 3 years of data analytics experience

- PhD in STEM field

- Experience with AWS, Python, Scala, R, machine learning, and SQL

Salary Information:

- Cambridge, MA: $161,800 - $184,600

- McLean, VA: $161,800 - $184,600

- New York, NY: $176,500 - $201,400

Benefits:

- Comprehensive, competitive, and inclusive health, financial, and other benefits

- Performance-based incentive compensation, including cash bonuses and long-term incentives

## Skills

### Required
- Python
- Conda
- AWS
- H2O
- Spark
- machine learning
- SQL
- Statistics
- Economics
- Operations Research
- Analytics
- Mathematics
- Computer Science

### Nice to have
- Scala
- R

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Principal--Data-Scientist---Card-Intelligence_R244940-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)