Top Data & Analytics Jobs in NYC, NY

Design, Create, Enhance, and Execute data governance processes. Generate documentation of existing processes, project progress, and forecast expected process changes. Proactively manage change control and communicate the impact to stakeholders.

Lead Data Engineer at Capital One responsible for designing, developing, and implementing technical solutions using full-stack development tools and technologies. Collaborate with Agile teams, work on distributed microservices, and drive a major transformation within Capital One.

The Sr. Risk Manager, Data Protection will provide oversight, analysis, and recommendations for enhancing cybersecurity controls. They will assess cyber risks, provide technical assessments, draft reports for senior management, and stay informed on emerging threats. Collaboration with stakeholders and effective program coordination are key responsibilities.

As a Principal Data Scientist at Capital One's Model Risk Office, you will partner with a cross-functional team to deliver products, leverage various technologies to reveal insights from large datasets, build machine learning models, and translate technical work into business goals. The ideal candidate is customer-first, innovative, technically proficient, and statistically-minded.

As a Principal Data Scientist at Capital One, you will partner with a cross-functional team to deliver products customers love, leverage a broad stack of technologies, build machine learning models, and translate complex work into business goals. The ideal candidate is customer-focused, innovative, creative, technical, statistically-minded, and a data guru.

Senior Machine Learning Engineer responsible for designing, building, and delivering ML models to solve business problems. Collaborate with cross-functional teams to enhance big data and ML applications. Leverage cloud-based architectures, optimize data pipelines, and ensure successful deployment of ML models using CI/CD best practices.

As a Lead Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models that solve real-world business problems. You will work collaboratively with Product and Data Science teams to inform ML infrastructure decisions, write and test application code, and automate deployment processes. Additionally, you will retrain, maintain, and monitor models in production, and leverage cloud-based architectures to scale ML models. Key responsibilities also include constructing data pipelines, following CI/CD best practices, and ensuring code quality and governance in ML practices.