Principal Associate, Data Scientist - Retail Bank Marketing

Capital One • McLean, VA

2d

About The Position

The marketing data science team in the Retail Bank builds the machine learning models that make our marketing more efficient: how much to spend on each digital marketing channel, the optimal product and channel to market each customer, and the estimated value of new accounts. We do data and model pipelining, machine learning, and well-managed model operations using Python and ML libraries in our tech stacks. If you enjoy the challenge of creating best-in-class solutions that provide long term value in a rapidly changing space, this is the role for you.

Requirements

• Currently has, or is 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 5 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 3 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)

Nice To Haves

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• At least 3 years’ experience in Python
• At least 3 years’ experience with machine learning
• At least 3 years’ experience with SQL

Responsibilities

• Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions
• Translate business goals into data science solutions and communicate with senior stakeholders
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Explore next-generation model architectures (e.g. embeddings, sequence models) to unlock value in our marketing efficiency

Benefits

• comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

What This Job Offers

• Job Type: Full-time
• Career Level: Principal