Senior Manager, Data Science - AI Foundations

Hobbsnews; New York (NY); On-site; USD 245,900 - 280,600; Full time

Benefits offered by this job

Health benefits

Performance-based incentives

Inclusive workplace

Job summary

Capital One is looking for a Senior Manager in Data Science, aiming to revolutionize financial experiences using advanced AI technologies in New York. This role involves collaborating across teams to create innovative shopping experiences through cutting-edge solutions, managing large datasets and NLP techniques.

The ideal candidate will possess extensive experience in data analytics, machine learning, and programming languages. In addition, opportunities for performance-based incentives and a competitive benefits package await successful applicants.

Qualifications

• 7 years of experience performing data analytics (or equivalent qualifications).
• 2 years of experience leveraging open source programming languages.
• 2 years of experience working with machine learning.

Responsibilities

• Partner with cross‑functional teams to deliver AI powered products.
• Leverage technologies to reveal insights within large datasets.
• Build NLP models through development phases and partner with engineering.

Skills

Data analytics

Machine learning

Natural Language Processing (NLP)

Open source programming

Relational databases

Education

Bachelor's Degree in a quantitative field

Master's Degree or MBA with quantitative concentration

PhD in a quantitative field

Tools

Python

AWS

SQL

Pytorch

Hugging Face

Job description

Senior Manager, Data Science - 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 contents. 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 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 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 7 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 plus 5 years of experience performing data analytics
  • A PhD 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
• At least 2 years of experience leveraging open source programming languages for large scale data analysis
• At least 2 years of experience working with machine learning
• At least 2 years of experience utilizing relational databases

Preferred Qualifications:

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• Experience working with AWS
• At least 5 years’ experience in Python, Scala, or R
• At least 5 years’ experience with machine learning
• At least 5 years’ experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full‑time annual salaries for this role by location are as follows:

• McLean, VA: $225,400 - $257,200 (Senior Manager, Data Science)
• New York, NY: $245,900 - $280,600 (Senior Manager, Data Science)
• San Jose, CA: $245,900 - $280,600 (Senior Manager, Data Science)

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.

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.