Data Scientist

About The Company
Capital One is a leading financial services company renowned for its innovative approach to banking and credit solutions. Established as a startup in 1988, the company revolutionized the credit card industry by leveraging statistical modeling and relational databases to deliver personalized credit card offers. Over the years, Capital One's commitment to data-driven decision-making and technological innovation has propelled it to the Fortune 200 list, establishing it as a prominent leader in the financial sector. With a focus on harnessing the power of data, Capital One continuously pushes the boundaries of financial services, creating products and solutions that enhance customer experiences and operational efficiency.

About The Role
We are seeking a Principal Associate, Data Scientist to join our People Tech Innovation Hub at Capital One. This role is pivotal in transforming raw data into strategic insights and innovative products that directly impact the employee experience and operational excellence. As part of this dynamic team, you will work at the forefront of technological advancements, utilizing cutting-edge machine learning and artificial intelligence tools such as Generative AI, Knowledge Graphs, and Vector Databases. Your expertise will help shape the future of work within Capital One by developing scalable, impactful data solutions that enable smarter decision-making and foster a culture of continuous innovation.

In this position, you will collaborate with cross-functional teams including data scientists, software engineers, and product managers to deliver high-quality, data-driven products that meet business needs. You will leverage a broad tech stack comprising Python, Conda, AWS, H2O, Spark, and more, to analyze large volumes of numeric and textual data. Building, validating, and deploying machine learning models will be central to your responsibilities, allowing you to uncover hidden insights and develop innovative use cases that improve employee engagement, productivity, and organizational agility.

Qualifications
The ideal candidate will possess a strong background in quantitative analysis, data science, and emerging technologies. You should have a degree in a relevant field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, with an expected graduation date aligned with the start of employment. Candidates with a Master's or PhD in these fields, or an MBA with a quantitative focus, are highly preferred. Proven experience in data analytics, machine learning, and working with large datasets is essential.

Additional qualifications include familiarity with cloud platforms like AWS, proficiency in programming languages such as Python and Scala, and experience with SQL. Experience working with retrieval-augmented generation (RAG) AI workflows, vector databases, and embedding models will be considered advantageous. The ability to interpret complex analytical results and translate them into actionable business insights is crucial for success in this role.

Responsibilities

• Partner with cross-functional teams to understand business challenges and develop data-driven solutions that enhance the employee experience and operational efficiency.
• Design, develop, and deploy machine learning models, ensuring they are robust, scalable, and aligned with business objectives.
• Leverage a comprehensive tech stack, including Python, Spark, AWS, and H2O, to analyze and interpret large, diverse datasets comprising numerical and textual information.
• Translate complex data insights into clear, actionable recommendations for stakeholders at all levels of the organization.
• Stay current with emerging technologies and research in data science, AI, and machine learning, continuously evaluating their applicability to business problems.
• Contribute to the development of innovative AI workflows, including RAG-based models and vector database indexing, to push the boundaries of what is possible with data science.
• Ensure data quality, integrity, and compliance with privacy standards throughout the analytics lifecycle.

Benefits
Capital One offers a comprehensive package of benefits designed to support your overall well-being and professional growth. Employees are eligible for competitive salaries, performance-based incentives, and long-term incentives that recognize individual and team contributions. The company provides health, dental, and vision insurance, along with wellness programs, retirement plans, and financial planning resources. Flexible work arrangements and continuous learning opportunities are also available to help you thrive in a dynamic environment. Capital One fosters an inclusive culture that values diversity and encourages innovation, ensuring every employee has the opportunity to succeed and make an impact.

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic as outlined by applicable law. We believe that a diverse workforce enhances our ability to serve our customers and innovate effectively. We are dedicated to providing accommodations for qualified individuals with disabilities and ensuring a fair hiring process. Capital One's commitment to equal opportunity extends to all aspects of employment, promoting a culture of respect, fairness, and opportunity for all.