Top Data & Analytics Jobs
As a Lead Machine Learning Engineer, you will design, develop, and implement machine learning applications at scale. Responsibilities include building ML models, optimizing ML systems, collaborating with cross-functional teams, and ensuring code quality and security. You will leverage cloud architectures and automate deployment processes to ensure the successful production of ML applications.
The Manager of Data Analysis will leverage analytical skills to drive strategy, build models, work with large datasets, improve operational efficiencies, and lead a team of junior analysts. Responsibilities include mining data, conducting analysis, and managing projects to enhance customer experience and business processes.
The role involves applying data science to enhance Capital One's talent strategies by designing models, conducting research, and delivering analyses. Responsibilities include tackling human capital issues through innovative solutions, data science skills, and statistical methods, with a focus on understanding associate behavior and productivity.
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As a Data Scientist at Capital One, you will train and customize large language models, partner with cross-functional teams to develop customer-centric products, and leverage technologies such as PyTorch and Hugging Face to analyze big data. You'll be involved in building and evaluating machine learning models and contribute research to leading NLP conferences.
As an Applied Researcher II, you will collaborate with a cross-functional team to develop AI-powered products. Your role involves leveraging technologies like Pytorch and AWS to analyze data, build AI models, and conduct applied research to enhance customer interactions. Strong analytical skills, creativity, and an understanding of AI methodologies are essential.
As a Senior Data Scientist at Capital One, you will partner with data scientists, software engineers, and product managers to develop machine learning models, translate complex insights into relatable business goals, and leverage a broad technology stack for data analytics.
The Principal Data Analyst at Capital One will leverage analytic and technical skills to innovate and create data solutions. Responsibilities include using open-source technologies for data mining, developing tools for business intelligence, ensuring data quality management, and collaborating with tech teams for data governance.
As a Lead Machine Learning Engineer at Capital One, you will design and implement machine learning applications, focusing on architectural design, model development, and infrastructure decisions. You'll collaborate with cross-functional teams to solve complex problems, manage ML models, and optimize data pipelines while ensuring best practices in AI governance.
The Senior Manager of Ontology and Data Governance leads the development and implementation of enterprise ontologies and collaborates on data strategy. This role involves sourcing data standardization efforts, managing a long-term roadmap, tracking KPIs, mentoring associates, and ensuring adherence to semantic standards. The position requires strong communication and leadership to influence cross-functional teams and advocate for the use of semantic technology.
As a Senior Lead Machine Learning Engineer, you will design and implement machine learning applications, collaborate with Agile teams, and utilize cloud architectures to optimize ML models. You'll also maintain production models and enforce best practices in testing and deployment.
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