Top Data & Analytics Jobs

As a Sr. Manager Data Analyst, you will validate analytical tools, execute validation projects, assess tool quality, and communicate findings to inform business strategies. The role involves coaching junior staff and fostering a collaborative environment to drive data-driven decisions in retail banking.

As a Senior Machine Learning Engineer at Capital One, you'll produce and implement machine learning applications, collaborating with Agile teams. Key responsibilities include designing ML models, automating tests and deployment, building data pipelines, and ensuring model performance and governance. You'll also leverage cloud architectures for scalable ML solutions and follow best practices in AI.

As a Senior Machine Learning Engineer at Capital One, you will be responsible for productionizing machine learning applications, collaborating with teams to design and deliver optimized ML models, and ensuring high performance and availability of ML systems. Key activities include writing application code, automating deployment, and managing ML models in production using cloud technologies.

As a Senior Manager Data Analyst, you will partner with teams to validate analytical tools, execute validation projects, assess risks, and communicate results. You will also mentor junior staff, identify best practices, and handle multiple projects in a fast-paced environment.

As a Senior Manager of Data Engineering at Capital One, you will lead a team in designing, developing, and supporting technical solutions. Your responsibilities include collaborating with Agile teams, utilizing big data technologies, mentoring engineers, and delivering cloud-based solutions that enhance customer experiences.

As a Senior Associate Data Scientist, you will develop predictive models and monitoring dashboards to enhance Capital One's Anti-Money Laundering program using advanced data analytics and machine learning. You will work with cross-functional teams to translate complex data insights into actionable business strategies and oversee the end-to-end development of machine learning models.

As a Senior Associate Data Scientist, you will collaborate with a cross-functional team to build machine learning models that help detect money laundering and fraud. You'll utilize Python, AWS, and Spark to analyze large datasets, develop predictive models, and deliver actionable insights. Additionally, you'll contribute to the end-to-end model development process, translating complex statistical work into business value.