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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. The AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.

Responsibilities

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
Flex interpersonal skills to translate the complexity of work into tangible business goals.

Requirements

Customer first mindset, with a passion to do the right thing for customers.
Innovative approach, continually researching and evaluating emerging technologies and seeking opportunities to apply them.
Creative problem-solver, thriving on bringing definition to big, undefined problems.
Leadership qualities, challenging conventional thinking and working with stakeholders to improve the status quo.
Technical expertise in advanced ML and DL technologies including language models.
Hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
Experience in training language models or large computer vision models.
Expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.
Engineering mindset with a track record of delivering models at scale.
Experience in delivering libraries, platforms, or solution-level code to existing products.
Currently have, or be in the process of obtaining a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
Currently have, or be in the process of obtaining 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.
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics).
Experience working with AWS.
At least 2 years’ experience in Python, Scala, or R.
At least 2 years’ experience with machine learning.
At least 2 years’ experience with SQL.

Skills

Natural Language Processing (NLP)
Large Language Models (LLMs)
Pytorch
AWS Ultraclusters
Hugging Face
LangChain
VectorDBs
Python
Scala
R
SQL
Machine Learning
Deep Learning (DL)

Location

New York, NY
San Jose, CA

Work Type

Full-time

Experience Level

Senior
2 years of experience

Education Level

Bachelor's Degree in a quantitative field
Master's Degree in a quantitative field
MBA with a quantitative concentration
Master’s Degree in STEM
PhD in STEM

Salary/Compensations

New York, NY: $148,000 - $168,900
San Jose, CA: $148,000 - $168,900

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

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.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.