Top Data & Analytics Jobs
The Data Scientist will design and deliver models and analyses to support Capital One's talent strategies, focusing on areas such as talent attraction, diversity, and productivity. This role involves leveraging data science tools and methodologies to develop insights and high-impact solutions related to human capital challenges.
The Manager, Data Scientist at Capital One will be leading the Generative AI Systems team to develop AI-based solutions for various applications like dialogue, text summarization, speech recognition, image processing, and time-series modeling. The role involves training and customizing large language models, collaborating with cross-functional teams, and contributing research to top-tier NLP conferences.
At Capital One, data is at the center of everything we do. As a Principal Data Analyst, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Responsibilities include innovation, business intelligence, and data management. The ideal candidate will have a degree in a STEM discipline, scripting experience in Python, R, Spark, and SQL, and experience with data in various forms. Basic qualifications include a Bachelor's Degree with 5 years of experience in data analytics or a Master's Degree with 3 years of experience.
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Design, create, enhance, and execute data governance processes. Manage change control, communicate impact to stakeholders, and deliver job aids and training. Collaborate with cross-functional teams to create effective solutions. Design and lead the production of metrics for efficiency, effectiveness, and risk measurement.
Lead the development and implementation plan for the Technology Data Excellence tower, optimizing application data architecture design and data governance practices. Drive high-level strategic discussions and stay abreast of emerging trends in technology. Promote engineering excellence and mentor talent to shape the future of Tech at Capital One.
Drive current and future data analysis strategy, lead a team of junior analysts, work with large datasets, improve operational efficiencies, conduct analysis, and implement strategic tests. Collaborate across business units and work in a fast-paced, entrepreneurial environment. Strong problem-solving, communication, and BI skills are crucial.
As an Applied Researcher II at Capital One, you will collaborate with a cross-functional team to develop AI-powered products, utilizing technologies like Pytorch and AWS. Your responsibilities include building AI foundation models, conducting applied research, and translating complex work into business goals, all while staying current on emerging technologies and methodologies.
As an Applied Researcher I at Capital One, you will partner with data scientists, engineers, and product managers to deliver AI-powered products. Your role involves leveraging various technologies to analyze large datasets, developing AI models through all stages, and conducting impactful applied research to enhance customer experiences.
As a Principal Data Scientist, you will partner with cross-functional teams to deliver data-driven products. Your role involves leveraging technologies like Python and Spark to build machine learning models, analyze data, and translate complex projects into business goals. You will innovate and evaluate emerging technologies to improve data science solutions.
As a Principal Data Scientist, you will leverage advanced machine learning techniques to build production-ready models and conduct research in AI, focusing on embedding and transformer models. You'll collaborate with product and engineering teams to analyze customer behavior and enhance business outcomes across various domains.
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