Top Data & Analytics Jobs

As a Data Scientist in the Generative AI Systems team, you will develop and customize large language models and other AI technologies, collaborate with cross-functional teams to deliver customer-focused applications, and conduct research for major NLP and AI/ML conferences.

As a Principal Associate Data Scientist at Capital One, you'll collaborate with a cross-functional team to build machine learning models, leverage a variety of technologies to analyze large datasets, and translate complex findings into business objectives, all while driving progress in the Mainstreet Card Acquisitions model ecosystem.

The Senior Data Scientist at Capital One will drive innovation in Compliance Testing using LLMs, collaborating with teams to deliver insights through machine learning models. Responsibilities include evaluating emerging technologies, building models, and translating complex data into business goals.

As a Data Scientist at Capital One, you will build machine learning models to protect against fraud, partner with cross-functional teams, and leverage technologies like Python and AWS to analyze large datasets and derive insights.

As a Principal Associate Data Scientist in Fraud Intelligence, you will leverage data science to build and maintain machine learning models that protect customers from fraud. Collaborate with cross-functional teams to derive insights from large data sets and translate complex analytics into business goals.

The Senior Director in Enterprise Data Risk Management at Capital One will oversee data risk management, provide advisory services, and drive organizational change through risk identification and mitigation. This role involves collaboration with various stakeholders to implement innovative solutions and influence data management practices across the enterprise.

As a Lead Data Engineer at Capital One, you will design, develop, test, and support technical solutions while collaborating with Agile teams. Responsibilities include utilizing programming languages and cloud-based services, mentoring team members, and ensuring code quality through reviews and testing.