Manager, Data Scientist - Servicing Intelligence

at Capital One in Chicago, Illinois, United States

Job Description

Center 1 (19052), United States of America, McLean, Virginia

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,... For full info follow application link.

Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace. 

All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, national origin, sexual orientation, protected veteran status, or disability status.

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; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.