Manager, Data Scientist – Alternative Data Strategy

Role Overview

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

What You Will Do

You will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications.

Why It Might Be a Fit

The ideal candidate is innovative, creative, technical, statistically-minded, and a data guru with experience in data analytics, machine learning, and open-source tools and cloud computing platforms.

Requirements

• Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
• Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
• PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
• At least 1 year of experience leveraging open source programming languages for large scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits
• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level

Tagged as: Compensation Design, Data Analysis