Top Data & Analytics Jobs
As a Senior Manager of Machine Learning Engineering, you'll design and implement machine learning applications while ensuring their performance and availability. You'll collaborate with cross-functional teams to solve business problems using ML, build optimized models, and maintain production systems, all while following best practices in AI development.
As a Senior Manager Machine Learning Engineering, you will lead the design and implementation of machine learning applications and infrastructure. Collaborating with cross-functional teams, you'll develop and optimize ML models, ensure high performance, and automate deployment processes while adhering to best practices in AI governance.
As a Senior Business Analyst, you will identify business challenges, support product pricing strategies, drive marketing efforts, improve credit risk performance, and collaborate with various departments to enhance service quality and profitability while ensuring clear communication and results orientation.
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The HR Systems Analyst and Delivery Senior Associate will enhance HR processes and systems by analyzing customer needs, identifying automation opportunities, and delivering technology solutions. Responsibilities include partnering with Product and Technology teams, using tools like Workday and Salesforce, and managing work through Agile practices.
As a Distinguished Machine Learning Engineer at Capital One, you'll lead large-scale ML initiatives, collaborate with cross-functional teams to develop AI/ML use cases, and stay updated with advancements in Generative AI and NLP, while mentoring engineers and driving research to identify new opportunities.
As a Principal Data Analyst at Capital One, you will leverage your analytic and technical skills to innovate, build, and maintain data solutions. Responsibilities include working on Innovation, Business Intelligence, and Data Management, such as mining data sources, developing dashboards, ensuring data quality, and collaborating with tech teams.
Lead the development and implementation plan for Technology Data Excellence tower, optimize application data architecture design and data governance practices, mentor internal and recruit external talent, and promote engineering excellence.
The Applied Researcher I will collaborate with data scientists, software engineers, and product managers to deliver AI-driven products that enhance customer interaction. Responsibilities include developing AI foundation models, engaging in applied research, and translating complex work into business goals.
As an Applied Researcher II at Capital One, you will collaborate with a cross-functional team to develop AI-powered products, analyze large datasets using various technologies, and push the boundaries of applied research to enhance customer experiences. This role requires innovative thinking, leadership, and technical expertise in AI methodologies and deep learning models.
The Applied Researcher II at Capital One will collaborate with cross-functional teams to deliver AI-powered products. They will leverage technologies like Pytorch and AWS to analyze large datasets, develop AI foundation models, and engage in applied research to enhance customer experiences while translating complex insights into business goals.
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