Top Data & Analytics Jobs
The Senior Manager of Machine Learning Engineering will lead ML activities including designing and delivering models, collaborating with product and data science teams, maintaining production models, and building cloud-based architectures. Responsibilities also include developing optimized data pipelines and ensuring adherence to best practices in AI governance.
The Senior Business Analyst will develop and test strategies with the Enterprise Consumer Product Strategy team at Capital One, working with various departments to tackle business challenges and enhance product strategy using analytics. Responsibilities include building strategies, performing analysis, and communicating effectively with stakeholders.
As a Senior Data Scientist at Capital One, you'll collaborate with teams to develop AI-powered products that enhance customer interactions with their finances. You'll leverage advanced technologies and work on building scalable ML and NLP models for an enhanced mobile app experience, while translating complex insights into business strategies.
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The Manager of Ontology and Data Modeling will lead the development and implementation of enterprise ontologies to support data strategy. Responsibilities include collaborating with various teams, driving roadmap priorities, delivering results through data-driven decisions, mentoring junior associates, ensuring adherence to W3C standards, and advocating for the strategic use of semantic technologies in Capital One's products and services.
As a Senior Manager of Data Engineering at Capital One, you will lead a team in designing, developing, and implementing data solutions. You will drive technological transformation by leveraging cloud computing and big data technologies, while collaborating with Agile teams to solve complex business problems and enhance customer experiences.
The Principal Associate, Data Loss Prevention Engineer (CASB) will work with a team to implement and maintain DLP controls, assess architectural strategies, develop secure system solutions, and provide subject matter expertise on data loss prevention measures and audit processes.
The Lead Data Engineer at Capital One is responsible for designing, developing, testing, and implementing technical solutions. The role involves collaborating with Agile teams, mentoring engineers, and delivering cloud-based solutions. Key technologies include machine learning, microservices, and data warehousing services.
Collaborate with Agile teams to design and implement technical solutions. Utilize programming languages and cloud services to develop data solutions. Conduct reviews, perform unit tests, and mentor team members. Engage with product managers to create user-centric cloud-based applications.
As a Lead Data Engineer, you will design, develop, test, and support full-stack technical solutions. You will collaborate with Agile teams, work with big data technologies, cloud computing, and mentor other engineers while focusing on delivering robust cloud-based solutions and driving transformations at Capital One.
As a Senior Data Engineer at Capital One, you will collaborate with Agile teams to develop and support technical solutions, focusing on full-stack development and leveraging technologies like Java, Scala, Python, and cloud services. You will also work on big data technologies and data warehousing solutions while mentoring other team members and keeping up with technology trends.
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