Senior Manager, Data Science

Senior Manager, Data Science

Senior Manager, Data Science - Marketing and Valuations

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

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.

Team Description

The Marketing & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement, segmentation, and customer value modeling. If you enjoy the challenge of creating best-in-class solutions that provide long term value in rapidly changing space, this is the role for you.

Role Description

This role will be leading the team that is building the next generation of Bank customer valuation models.

In this role, you will:

• Lead a team of data scientists in delivering advanced machine learning solutions that solve real, high impact business problems

• 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

The Ideal Candidate is:

• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience with software engineering techniques and developing end to end model pipelines in Python.

• You are experienced in various machine learning algorithms and predictive solutions

• You are effective in communicating technical details to a variety of audiences

Basic Qualifications:

• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date

• At least 3 years’ experience in open source programming languages for large scale data analysis

• At least 3 years’ experience with machine learning

• At least 3 years’ experience with relational databases

Preferred Qualifications:

• PHD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics

• At least 2 years of experience working with AWS

• At least 5 years’ experience in Python, Scala, or R for large scale data analysis

• At least 5 years’ experience with machine learning

• At least 5 years’ experience with SQL

• Experience with Kubeflow Pipelines

• Experience with XGBoost

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management