Manager, Data Science

About the Role

Capital One is a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist, you will be part of a team using cutting-edge computing and machine learning technologies to analyze billions of customer records. This role focuses on the customer management business within the US Card data science organization, building machine learning solutions for real-time customer behavioral prediction and valuation forecasts. You will collaborate with cross-functional teams including business, engineers, analysts, data science/quants, and product teams.

Key Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver products.
• Leverage a broad stack of technologies, including Python, Conda, AWS, H2O, and Spark, 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.

Requirements & Tech Stack

• Python
• Conda
• AWS
• H2O
• Spark
• Machine Learning
• Relational Databases
• Open-source programming languages

Qualifications

Basic Qualifications

• Currently have, or are in the process of obtaining, one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A 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.
• A 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.
• A 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.

Preferred Qualifications

• PhD in a “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 4 years’ experience in Python, Scala, or R for large-scale data analysis.
• At least 4 years’ experience with machine learning.
• At least 4 years’ experience with SQL.