Top Data & Analytics Jobs
In this role, the Director of Machine Learning Engineering will lead teams to develop Machine Learning Model Governance and AI Observability platforms. They will optimize model performance, innovate with Gen AI frameworks, and guide technical development within their teams while collaborating in an Agile setting.
As a Senior Data Engineer at Capital One, you will design, develop, test, and support technical solutions while collaborating with Agile teams. Your role involves using languages like Java, Scala, and Python, working with both relational and NoSQL databases, and leveraging cloud services like Redshift and Snowflake to create robust data solutions for financial empowerment.
As a Principal Associate Data Scientist at Capital One, you will collaborate with a team to develop machine learning models that prevent application fraud. Your role involves leveraging technologies like Python and AWS to extract insights from large datasets, building models through all development phases, and communicating complex analyses to meet customer-focused goals.
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As a Data Scientist at Capital One, you will build machine learning models to protect against fraud, partner with cross-functional teams, and leverage technologies like Python and AWS to analyze large datasets and derive insights.
As a Principal Associate, Data Scientist, you will develop machine learning models to prevent application fraud. You'll work with a team to analyze and extract insights from large data sets, leveraging various technologies and ensuring customer-focused solutions.
As a Data Scientist, you'll partner with a team to build machine learning models that combat application fraud. Your responsibilities include utilizing advanced technologies to analyze data, constructing models throughout all development phases, and translating complex analytics into actionable insights.
As a Principal Associate Data Scientist in Fraud Intelligence, you will leverage data science to build and maintain machine learning models that protect customers from fraud. Collaborate with cross-functional teams to derive insights from large data sets and translate complex analytics into business goals.
As a Data Scientist at Capital One, you'll build and manage machine learning models to protect customers from fraud. Collaborating with a cross-functional team, you will utilize your technical skills to analyze large datasets, translate complex data into understandable insights, and contribute to creating customer-friendly products.
As a Data Scientist in the Fraud Intelligence team, you will collaborate with data scientists, engineers, and product managers to build machine learning models that protect customers from fraud. You will leverage various technologies to analyze large volumes of data, develop models, and translate complex data insights into business objectives.
The Business Director will lead strategic growth initiatives, manage a team of analysts, develop data-driven product and pricing strategies, and enhance credit risk performance. The role involves close collaboration with various departments to improve customer experience and profitability while fostering innovative solutions through analytics and market insights.
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