Data Scientist

4 weeks ago


New York, New York, United States Capital One Full time
Job Summary

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 have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

About the Role

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.

About the Team

The Generative AI Systems (Genesis) team within Card Data Science builds state-of-the-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, and image processing. 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 work with 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 conferences.

Responsibilities

Develop applications powered by Large Language Models across multiple modalities (text, speech, and vision).

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 — PyTorch, Hugging Face, Spark, LangChain, and more — to reveal the insights hidden within huge volumes of both structured and unstructured data.

Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.

Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP).

Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Requirements

Currently has, or is in the process of obtaining a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining a PhD, with an expectation that required degree will be obtained on or before the scheduled start date.

At least 1 year of experience in open-source programming languages for large-scale data analysis.

At least 1 year of experience with machine learning.

At least 1 year of experience with relational databases.

Preferred Qualifications

Master's Degree in 'STEM' field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in 'STEM' or STEM-adjacent field (Science, Technology, Engineering, or Mathematics).

At least 1 year of experience working with AWS.

At least 3 years' experience in Python, Scala, or R.

At least 3 years' experience with machine learning.

At least 3 years' experience with SQL.

What We Offer

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 level.
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