Top Data & Analytics Jobs
As an Applied Researcher II at Capital One, you will collaborate with a diverse team to develop and implement AI-powered products, utilizing a range of technologies to analyze data and create innovative solutions that enhance customer interactions. Your role involves building foundational models during all development phases and engaging in impactful applied research. You will translate complex AI concepts into clear business objectives, ensuring the responsible use of technology to serve customers effectively.
The Applied Researcher I role at Capital One involves partnering with cross-functional teams to deliver AI-powered products, leveraging a variety of technologies to reveal insights from data, building AI foundation models, engaging in applied research, and translating complex work into tangible business goals.
As a Senior Machine Learning Engineer at Capital One, you'll develop and implement machine learning applications, collaborate with product and data science teams, and ensure high performance of ML models. Responsibilities include designing data pipelines, maintaining models in production, and leveraging cloud architectures to optimize solutions.
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As a Senior Data Engineer at Capital One, you will design and implement technical solutions utilizing full-stack development tools, collaborate with Agile teams, and work with emerging technologies and big data. Your role involves coding, testing, mentoring, and using cloud-based data warehousing services.
As a Senior Manager of Data Engineering at Capital One, you will lead Agile teams to develop and support data engineering solutions, utilizing technologies such as Java, Scala, and Python. You will be responsible for managing a team, driving cloud-based solutions, performing code reviews, and mentoring engineers, all while focusing on delivering impactful results for users' financial empowerment.
As a Lead Data Engineer, you'll design and develop technical solutions, collaborate on agile teams, and support data engineering processes. You'll work with various programming languages and cloud services to drive data handling and technology innovation at Capital One.
The Senior Data Engineer at Capital One will design, develop, and support technical solutions while collaborating with Agile teams. Responsibilities include utilizing programming languages, working with cloud-based data warehousing services, and implementing both relational and NoSQL databases. The role requires developing solutions that empower users and mentoring fellow engineers.
As a Senior Manager of Data Engineering at Capital One, you will lead a team to design, develop, and implement technical solutions, focusing on full-stack development and big data technologies. You will collaborate with Agile teams, manage people, and mentor engineers while driving data-driven solutions for business problems.
The Manager Data Science role involves leading the deployment and optimization of machine learning models in the Consumer Credit Risk Management team. You will collaborate with data scientists, software engineers, and product managers to deliver insightful products, leveraging technologies like Python and AWS. This role focuses on translating complex analyses into actionable business goals to enhance company performance.
The role involves collaborating with data scientists, software engineers, and ML engineers to deliver AI-powered products. The Applied Researcher II will leverage technologies like Pytorch and AWS to uncover insights from data and build AI foundation models through all phases of development. They will engage in high-impact research and help translate complex work into business goals, while staying current with emerging technologies.
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