Senior Data Scientist, AI Foundations

Capital One National Association; New York (NY); On-site; USD 148,000 - 168,900; Full time

Job summary

Capital One National Association is looking for a Senior Data Scientist to join their AI Foundations team in New York City. This role involves leveraging AI and ML technologies to enhance customer experiences. The ideal candidate will possess a background in quantitative fields and experience with machine learning, particularly in natural language capabilities.

The position offers a competitive salary range of $148,000 - $168,900 and the opportunity to work within a leading Fortune 200 company. Join a vibrant team aiming to innovate in the financial space!

Qualifications

• Experience in training language models.
• Hands-on experience with large computer vision models.
• 2+ years of relevant work experience.

Responsibilities

• Deliver AI powered products that change customer interactions.
• Partner with cross-functional teams for project execution.
• Translate complex data insights into business goals.

Skills

Natural Language Processing (NLP)

Machine Learning (ML)

Data Analysis

Team Collaboration

Cloud Computing

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Tools

Python

AWS

SQL

R

Scala

Job description

Senior Data Scientist, AI Foundations

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

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. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful content. You will be the driving force to experiment, innovate and create next‑generation experiences powered by the latest emerging generative AI technologies.

In this role, you will:

• 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, Lightning, 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 fine‑tune 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 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 advanced ML and DL technologies including language models and are passionate about developing further. You have hands‑on experience working with LLMs and solutions using open‑source tools and cloud computing platforms.
• Influential. You are passionate about AI/ML and can bring along a cross‑functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non‑technical audiences.
• You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as training optimization, self‑supervised learning, explainability, RLHF.
• You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution‑level code to existing products.

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 2 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.

Preferred Qualifications

• 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.

Salary

New York, NY: $148,000 - $168,900 for Senior Associate, Data Science

San Jose, CA: $148,000 - $168,900 for Senior Associate, Data Science

Equal Opportunity Employer

Capital One is an equal opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws.

Additional Information

Capital One promotes a drug‑free workplace. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One does not provide, endorse, or guarantee and is not liable for third‑party products, services, educational tools, or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

For technical support or questions about Capital One's recruiting process, please send an email to [e-mail].