Top Data & Analytics Jobs
The Sr. Distinguished Applied Researcher at Capital One will lead strategic AI initiatives, collaborate with teams to develop AI-powered products, engage in applied research, and mentor applied scientists without direct management. The role involves building AI models and translating technical insights into business objectives.
As an Applied Researcher I at Capital One, you will partner with a cross-functional team to deliver AI-powered products, leverage technologies like Pytorch and AWS, build AI foundation models, and engage in high-impact applied research to enhance customer experiences.
As a Senior Data Engineer at Capital One, you'll design and implement technical solutions in full-stack environments while collaborating with Agile teams. You'll work with various programming languages and tools, employ data engineering best practices, and contribute to real-time and big data solutions in a cloud-based environment.
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As a Senior Manager of Data Engineering at Capital One, you will lead a team in developing cloud-based solutions and collaborate across Agile teams. You'll be responsible for mentoring engineers, overseeing application development and big data technologies, and ensuring robust coding standards. You'll leverage your experience with machine learning, multiple programming languages, and people management to drive impactful data initiatives.
As a Principal Data Scientist at Capital One, you will lead the use of advanced machine learning and data science methods to drive business outcomes. Responsibilities include building ML models, collaborating with product teams, conducting experiments, and operationalizing solutions in production systems handling large datasets.
As a Senior Data Scientist on the AI Foundations team, you will collaborate with cross-functional teams to develop and implement AI-powered products. You will analyze large datasets using state-of-the-art technologies, particularly focusing on Natural Language Processing and Large Language Models. Your work will involve designing, training, and validating machine learning models to enhance customer interactions with Capital One's mobile app.
As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to improve customer experiences and business outcomes. You will research and apply emerging technologies in AI, engage with business and product teams, and ensure robust operational integration of models to serve millions of customers.
The Principal Data Scientist will conduct research and develop machine learning models, refine integration patterns for ML technologies, and collaborate with product and engineering teams. Responsibilities include building models, running experiments to improve customer experiences, and analyzing large datasets using various tools.
The Principal Data Scientist will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include leveraging technologies like Python and AWS for data analysis, building and benchmarking deep learning models, and translating complex data insights into actionable business goals.
The Senior Manager of Ontology and Data Modeling will develop and implement enterprise ontologies to support Capital One's Data Strategy, prioritize the ontology roadmap, define KPIs, work with technology and product teams, and advocate for semantic technology and data standardization across the organization.
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