Top Data & Analytics Jobs
As a Senior Associate Data Scientist, you will work in a team to build machine learning models for regulatory compliance and risk management. Responsibilities include leveraging technologies to analyze large datasets, developing and validating predictive models, and collaborating with cross-functional teams to achieve business objectives.
As a Senior Associate Data Scientist, you will create machine learning models for regulatory compliance and risk management. You'll work with cross-functional teams to extract insights from vast data volumes using advanced technologies, while translating complex analyses into business goals.
As a Data Scientist, you will leverage a variety of technologies to build machine learning models, analyze large datasets, and translate complex data insights into actionable business goals while working with a cross-functional team.
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As a Principal Associate Data Scientist at Capital One, you'll collaborate with a cross-functional team to build machine learning models, leverage a variety of technologies to analyze large datasets, and translate complex findings into business objectives, all while driving progress in the Mainstreet Card Acquisitions model ecosystem.
As a Data Scientist at Capital One, you will collaborate with data scientists, software engineers, and product managers to build machine learning models, analyze large datasets, and translate complex findings into actionable business strategies. The role emphasizes statistical modeling and decision-making to improve customer outcomes through advanced data-driven techniques.
The Principal Associate, Data Scientist will collaborate with a team to deliver customer-centric data products, build machine learning models, and leverage various technologies to analyze large datasets, ultimately improving customer outcomes.
Lead the productionization of machine learning applications, focusing on design, development, and implementation using advanced technologies. Collaborate with cross-functional teams to solve business problems with ML models, ensure code quality, and optimize ML systems for performance and scaling.
The Senior Manager, Data Engineering will lead Agile teams in creating cloud-based solutions, utilizing programming languages and technologies like Java, Scala, Python, and cloud services. Responsibilities include mentoring, collaborating with product managers, and overseeing performance-optimized code development.
The Manager of Ontology and Data Modeling oversees the development and maintenance of enterprise ontologies, advocating for semantic technology integration across Capital One products. Responsibilities include defining problem statements, managing roadmaps, supporting data integration efforts, mentoring junior staff, and maintaining industry standards in ontology and data modeling.
As a Principal Data Analyst, you will leverage analytics and technical skills to innovate and maintain data solutions. Responsibilities include using cutting-edge technologies for data mining, building tools for data visualization, ensuring data quality management, and collaborating with tech teams for data governance.
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