Principal Associate, Data Science

Principal Associate, Data Science

Principal Associate, Data Scientist - [Retail Bank]

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 Retail Bank Operations team is at the forefront of leveraging cutting-edge technology to empower our operations teams to better serve our customers. We utilize machine learning and AI to streamline processes in fraud detection, claims processing, and quality control. You will be the driving force to lead research, innovate, and develop new applications with emerging AI/ML technologies. Our areas of focus include multi-agentic workflows, sequence modeling, and LLM model tuning.

Role Description

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver AI powered solutions to increase operational efficiency.

• Leverage a broad stack of technologies — Python, AWS, Spark, Kubernetes and more — to reveal the insights hidden within huge volumes of numeric and textual data using deep learning techniques such as transformers, LSTMs, and embeddings

• Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications and multi-agentic workflows.

• 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.

The Ideal Candidate is:

• Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems.

• 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 have hands-on experience in AI/ML development, working with open-source tools and cloud computing platforms. You are proficient in NLP and LLM tuning. 

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 5 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 3 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)

Preferred Qualifications:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)

• At least 1 year of experience working with AWS

• At least 1 year of experience in GenAI application development.

• At least 1 year of experience with multi-agentic workflows. 

• At least 3 years’ ex