Top Data & Analytics Jobs in San Francisco Bay Area, CA
As an Applied Researcher II at Capital One, you will collaborate with a multi-disciplinary team to develop AI-powered products, analyze large datasets, build AI foundation models, and conduct impactful applied research to enhance customer experiences.
In this role, you'll partner with a cross-functional team to deliver AI-powered products, build foundation models, engage in applied research, and leverage a broad tech stack to analyze data and drive business goals.
The Senior Machine Learning Engineer will work on productionizing machine learning applications, collaborating with Product and Data Science teams, designing ML models, automating tests, and deploying ML solutions in cloud environments. Responsibilities include maintaining models in production and optimizing data pipelines.
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As a Principal Associate Cyber Threat Researcher, you will leverage your expertise to identify, analyze, and mitigate cyber threats. Responsibilities include synthesizing data from various sources to inform detections, maintaining knowledge of the current cyber threat landscape, and building relationships across Capital One's business to communicate findings effectively.
As a Principal Data Scientist, you will work on developing machine learning models, conducting experiments to improve customer experiences, and building scalable production systems for vast amounts of transactional data. You'll collaborate closely with engineering and product teams, focusing on cutting-edge technologies in AI and analytics.
As a Senior Manager, Machine Learning Engineering, you will design, implement, and scale machine learning applications within an Agile team. Your role includes collaborating with Product and Data Science teams to develop models that address business challenges, managing ML systems, optimizing data pipelines, and ensuring adherence to best practices in responsible AI and code governance.
As a Senior Business Analyst at Capital One, you will analyze business challenges, develop and test strategies, collaborate across teams, and drive improvements in profitability and customer experiences. Your role will involve modeling, problem-solving, and communicating strategic insights to impact the company's bottom line.
In this role, you'll collaborate with cross-functional teams to deliver AI-powered products that enhance customer interactions. You'll leverage various technologies for data insight extraction and lead the development of machine learning and NLP models through all phases of their lifecycle, ensuring scalability and resilience for production systems serving over 80 million customers.
As a Senior Machine Learning Engineer, you will design and implement ML applications at scale, collaborate with Agile teams, develop ML models, ensure high availability, and optimize data pipelines. You will also maintain and monitor models in production while adhering to best practices in AI governance.
The Manager of Ontology & Data Modeling will develop and maintain enterprise ontologies to support Capital One's Data Strategy. Responsibilities include collaborating across teams to build domain ontologies, advocating for semantic technology, prioritizing the ontology roadmap, and mentoring junior associates. The role demands understanding technical architecture and industry standards, while actively managing teams to deliver optimized data models.
Top Companies in San Francisco Bay Area, CA Hiring Data + Analytics Roles
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