Top Data & Analytics Jobs in NYC, NY
As a Lead Data Engineer at Capital One, you will collaborate with Agile teams to design and implement data-driven solutions, working with machine learning and cloud technologies. You'll leverage programming languages such as Java, Scala, and Python, and develop with both SQL and NoSQL databases. Responsibilities include mentoring team members and ensuring high-quality code through rigorous testing and performance tuning.
As a Senior Associate Data Scientist, you will work on building machine learning models for compliance and risk management, translating complex data into actionable insights, and collaborating with data scientists and engineers to create data-driven solutions.
As a Principal Data Scientist in the Emerging ML team at Capital One, you'll develop cutting-edge machine learning models leveraging large data sets. You'll partner with various teams to execute experiments that enhance customer experiences and outcomes, while also refining integration patterns for advanced models.
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As a Senior Data Engineer, you'll collaborate with Agile teams to design, develop, and implement robust technical solutions. You will work with machine learning, microservices, and cloud data warehousing, applying programming skills across various data technologies to enhance financial empowerment for customers.
As a Principal Associate Data Scientist at Capital One, you will collaborate with data scientists and software engineers to build machine learning models and analyze large datasets. Your role includes delivering insights, improving decision-making systems, and translating complex analytical results into actionable business strategies.
The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, working collaboratively across Capital One to support data strategy and semantic technology integration. Responsibilities include defining problem statements, leveraging customer insights for prioritization, managing teams, communicating risks, and contributing to culture and recruiting efforts.
As a Senior Machine Learning Engineer, you'll design, build, and deploy machine learning applications in an Agile environment, focusing on ML architectural design, infrastructure decisions, and scaling models using cloud technologies. Responsibilities include coding, testing, optimizing data pipelines, and ensuring best practices in model governance while collaborating with cross-functional teams.
As a Senior Data Scientist, you'll lead model-driven projects aimed at extracting insights from customer communications, utilizing generative AI, deep learning, and large-scale data annotations to enhance the customer experience. Collaborate with various teams to build effective machine learning solutions while communicating with stakeholders to align data insights with business goals.
As a Principal Associate, Data Scientist in Fraud Intelligence, you will build and manage machine learning models, leverage technologies such as Python and AWS to analyze data, and work with a cross-functional team to protect customers from fraud.
As a Principal Associate Data Scientist at Capital One, you will develop machine learning models to prevent application fraud and enhance customer experience, working with a diverse team and leveraging a broad technology stack to analyze large data sets.
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