Top Data & Analytics Jobs
The Senior Data Engineer will collaborate with Agile teams to design, develop, test, and implement technical solutions. They will work with various programming languages and cloud-based services to solve complex business problems, ensuring code quality and performance, and mentoring team members.
The Senior Data Scientist will leverage advanced AI/ML solutions to enhance Capital One's mobile app, utilizing NLP and LLMs to create personalized customer experiences. Collaborating with cross-functional teams, the candidate will design, train, and operationalize machine learning models, driving innovation to improve financial services.
As a Principal Data Scientist at Capital One, you will collaborate with a cross-functional team to develop AI-powered products by leveraging advanced technologies. You will analyze huge volumes of data, build and benchmark deep learning models, and communicate insights to support business goals.
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As a Principal Data Scientist, you will partner with a team to deliver AI-powered products, leveraging technologies like Python and AWS. Your focus will be on working through the machine learning lifecycle, analyzing large datasets, and translating complex data insights into business solutions.
Lead Data Engineer at Capital One responsible for collaborating with Agile teams to design, develop, test, and implement technical solutions using full-stack development tools and technologies. Must have a Bachelor's Degree, 4 years of application development experience, 2 years of big data technologies experience, and 1 year of cloud computing experience. Preferred qualifications include 7+ years of application development experience with Python, SQL, Scala, or Java, and 4+ years of experience with public clouds like AWS, Microsoft Azure, or Google Cloud.
The Principal Associate, Data Loss Prevention Engineer will be responsible for implementing DLP controls, assessing architectures, and developing secure solutions using SaaS and IaaS. Responsibilities include analyzing workflows, maintaining documentation, and collaborating with IT teams to enhance Capital One's data security measures through effective DLP strategies.
As a Senior Data Engineer at Capital One, you will design, develop, and support data solutions using technologies like Python and Spark within an Agile framework. You'll collaborate with teams to solve complex data problems and enhance customer experiences through cloud-based solutions.
The Sr. Manager Data Analyst - Retail Bank, Reporting and Innovation at Capital One will lead a team and drive analytical work in partnership with Risk Office and Bank leaders. Responsibilities include refining analytical tools validation framework, planning and executing projects, assessing tool methodologies and risks, researching best practices, and mentoring junior staff. Ideal candidate has strong problem-solving, communication, and leadership skills.
The Data Science Director in Model Risk at Capital One will lead a team in using statistical models and advanced technologies. Responsibilities include partnering with data scientists and engineers, building machine learning models, and translating complex analyses into business goals to drive better risk management decisions.
As a Principal Data Analyst at Capital One, you will innovate and manage data solutions, perform business intelligence analysis, and ensure data quality principles are followed while collaborating with Tech teams and translating business needs into actionable insights.
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