Director, Data Science - Consumer and Developer Experience (Remote-Eligible)

Director, Data Science - Consumer and Developer Experience (Remote-Eligible)

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

At Capital One, we are relentless innovators with a proven track record of transforming customers’ experiences and the financial services industry. We’re delivering best-in-class innovation so that our more than 100 million customers can manage their finances with ease.

We consider ourselves the bank a technology company would build – empowered to use artificial intelligence (from machine learning to generative AI) to transform everyday banking into real-time, intelligent products that help customers improve their financial well-being. We’re all-in on the cloud and are a leader in the adoption of open source. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. We’re going boldly where no bank has gone before. And, as a founder-led company, we are centered in our mission to help customers succeed.

In this role, you will

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic

Qualifications

• 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 9 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 7 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 4 years of experience performing data analytics
• At least 4 years of experience leveraging open source programming languages for large scale data analysis
• At least 4 years of experience building/deploying AI/ML models in production
• At least 4 years of experience designing and analyzing A/B tests

Preferred

Qualifications

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 3 year of experience managing people
• At least 5 years of experience in Python, Scala, or R for large scale data analysis
• At least 5 years of experience with machine learning

Capital One is open to hiring a Remote Employee for this opportunity.

Remote (Regardless of Location): $244,700 - $279,200 for Dir, Data Science

Chicago, IL: $244,700 - $279,200 for Dir, Data Science

McLean, VA: $269,100 - $307,200 for Dir, Data Science

New York, NY: $293,600 - $335,100 for Dir, Data Science

Richmond, VA: $244,700 - $279,200 for Dir, Data Science

Riverwoods, IL: $244,700 - $279,200 for Dir, Data Science

San Francisco, CA: $293,600 - $335,100 for Dir, Data Science