Capital One

Financial Services

Director,DataScientist

$269–307k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Director, Data Scientist at Capital One. Skills: Generative AI, Machine Learning, Data Science, NLP. Build machine learning models. Develop generative AI-based solutions”

What You'll Achieve.

Unlock big opportunities; Drive efficiency in business; Enhance customer experience

Industry & Context.

Financial Services
Problems you'll solve

Data-driven decision-making

What They're Looking For.

Must Have

Bachelor's degree in quantitative field plus 9 years of experience, Master's degree in quantitative field or MBA with quantitative concentration plus 7 years of experience, PHD in quantitative field plus 4 years of experience, 4 years experience leveraging open source programming languages, 4 years experience working with machine learning, 4 years experience utilizing relational databases

Nice to Have

PhD in STEM field plus 5 years of experience, 1 year experience working with AWS, 3 years experience managing people, 5 years experience in Python, Scala, or R, 5 years experience with machine learning

What You'll Do.

Build machine learning models

Develop generative AI-based solutions

Deliver internal applications

Enhance customer experience

Lead a seasoned group

Experiment with emerging technologies

Deliver software implementing technologies

Contribute research to conferences

Partner with cross-functional teams

Leverage technologies to reveal insights

Build machine learning models through all phases

Translate complexity into business goals

How You'll Work.

Team & Collaboration

Cross-functional team; Product managers; Software engineers

Communication Scope

Interpersonal skills

Full Job Description

Director, Data Scientist 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 Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling. We partner with product, tech and design teams to deliver internal applications based on these solutions that drive efficiency in our business and data analytics teams, as well as customer-facing applications that enhance the customer experience. You will lead a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences. Role Description 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, Kubernetes, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phas

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