at Capital One in Boise, Idaho, United States Job Description 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 t To view full details and how to apply, please login or create a Job Seeker account