Manager, Data Scientist - Servicing Intelligence

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 Servicing Intelligence data science team builds deep learning models to help our internal customers use unstructured, multi-modal data sources — text, image, and audio data. We partner with product, tech, and business teams to deliver solutions spanning from using generative AI to conduct information extraction on millions of documents to analyzing call transcripts to identify customer pain points. You will be the driving force to experiment, innovate, and create next generation experiences powered by the latest emerging generative AI technologies.

Role Description:

In this role, you will:

• Be an expert in natural language processing (NLP) to harness the power of large language models (LLMs) and large multi-modal models (LMMs)
• Leverage a broad stack of technologies — Pytorch, Hugging Face, LangChain, LLaMA-Factory, GitHub, AWS, and more — to automate workflows using huge volumes of text and vision data
• Collaborate on a team of data scientists to build machine learning models through all phases of development, from design through training, evaluation, validation, implementation, and maintenance
• Flex your communication skills by interacting with a variety of internal business stakeholders to define innovative data science solutions
• Exhibit interest in learning underlying business processes, getting into the details by guiding annotators to curate high quality, consistent training datasets

The Ideal Candidate is:

• 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.
• 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.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve.

Basic Qualifications:

• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
• At least 2 years’ experience in open source programming languages for large scale data analysis
• At least 2 years’ experience with machine learning
• At least 2 years’ experience with relational databases

Preferred Qualifications:

• At least 2 years of experience working with unstructured data for natural language processing, computer vision, or speech applications
• At least 2 years of experience fine-tuning and deploying transformer based models
• At least 2 years of experience working with deep learning libraries and tools, such as Pytorch and HuggingFace
• At least 4 years of experience in Python with a blend of experiences in data science and software engineering
• At least 4 years of experience with machine learning
• At least 1 year of experience working with AWS
• At least 1 year of experience providing technical mentorship to peer data scientists

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

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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. 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. 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

Capital One does not provide, endorse nor 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).