Senior Manager, Data Science - GenAI Powered Developer Experience Team - Capital One

Center 2 (19050), United States of America, McLean, Virginia

Senior Manager, Data Science - GenAI Powered Developer Experience Team

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 GenAI Powered Developer Experience Team in AI Foundations builds scalable solutions based on generative AI to help 20k + developers flow through the Capital One Software Development Lifecycle, whether it is to help developers setup, design, develop, test, deploy or maintain and monitor their applications. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies. Our areas of research include advanced RAG systems, AI agents and tooling, LLM for coding tasks, guardrails and many more.

In this role, you will

1. 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 developers write software.
2. Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more.
3. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
4. Build 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.
5. Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The Ideal Candidate is

1. 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.
2. 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.
3. 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.
4. Technical. You’re comfortable with open-source languages and are passionate about developing further with new GenAI technologies. You are a developer yourself and are hands-on with DevOp tools and have experience developing solutions using open-source tools, libraries and cloud computing platforms.
5. 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.

Basic Qualifications

1. Currently has, or is in the process of obtaining a Bachelor’s Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.
2. At least 3 years of experience in open source programming languages for large scale data analysis.
3. At least 3 years of experience with machine learning.
4. At least 3 years of experience with relational databases.

Preferred Qualifications

1. PhD in Computer Engineering plus 4 years of relevant experience, prior publication/research experience referred.
2. At least 1 year of specialized experience in GenAI application development.
3. At least 3 years of experience managing people.
4. At least 3 years of experience in DevOps such as Docker, Kubernetes, software testing, automation, defect/bug tracking etc.
5. At least 3 years of experience working with AWS.
6. At least 5 years of experience in PyTorch/Tensorflow.

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 are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Data Science

San Francisco and San Jose, California (Hybrid On-Site): $248,700 - $283,800 for Sr Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

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.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.