Top Data & Analytics Jobs in NYC, NY

Partner with cross-functional teams to deliver AI powered products changing customer interactions with money. Use Pytorch and other technologies to analyze and reveal insights from large datasets. Specialize in NLP for customer-facing applications. Build machine learning and NLP models for production systems serving 80+ million customers. Translate complex work into business goals.

As a Distinguished Engineer at Capital One, you will provide technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You will be responsible for delivering ML models and software components, leading large-scale ML initiatives, and optimizing data pipelines for ML models. You will also evangelize best practices, help recruit top engineering talent, and continuously learn and apply the latest innovations in machine learning engineering.

The Distinguished Engineer - Card Machine Learning at Capital One is a technical expert responsible for defining the future of banking in the cloud. They lead a team to drive innovation, create reusable solutions, and optimize business outcomes through machine learning and data engineering. This role involves promoting engineering excellence, mentoring talent, and contributing technical expertise across the organization. The engineer is tasked with reducing time to market for critical models and leading GenAI initiatives.

As a Capital One Machine Learning Engineer, you will be responsible for designing, building, and delivering ML models and components to solve business problems. You will work closely with cross-functional teams to ensure high availability and performance of machine learning applications. Responsibilities include model training, infrastructure decisions, and maintaining models in production.

Partner with cross-functional team to deliver AI-powered products, build AI foundation models, engage in applied research, and translate complex work into business goals.

Manager, Cyber eDiscovery Senior Analyst at Capital One responsible for utilizing eDiscovery and forensic software to perform collections of electronically stored information and providing technical support for legal discovery and enterprise investigation requests. Responsibilities include data processing, training, documentation, coordination, and metrics reporting. Basic qualifications include a high school diploma and at least 6 years of experience in the Cyber or Legal field. Preferred qualifications include a Bachelor's Degree and 6+ years of experience in eDiscovery or cyber forensics.

Capital One is seeking a Senior Data Engineer with at least 4 years of experience in application development, proficiency in Java, Scala, Python, and expertise in big data technologies. Responsibilities include collaborating with Agile teams to design and implement full-stack solutions using leading-edge technologies.