Top Data & Analytics Jobs in San Francisco Bay Area, CA
Manager, Cyber eDiscovery Senior Analyst position at Capital One, responsible for utilizing eDiscovery software to collect and process electronically stored information, provide technical support, maintain program documentation, and coordinate data transfers. The role involves administering the eDiscovery application, troubleshooting issues, reporting metrics, and collaborating with internal and external parties on investigations and legal requests.
Partner with a cross-functional team to deliver AI-powered products, leverage technologies to analyze large volumes of data, build AI models, and engage in applied research.
Seeking a Cyber Threat Researcher to leverage cyber threat intelligence for good, counter cyber adversaries targeting Capital One, and predict cyber threats and adversary intentions. Responsibilities include combining detection signals, maintaining expertise in cyber threat landscape, synthesizing data, building relationships, and communicating outcomes.
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As a Distinguished Engineer at Capital One, you will lead large-scale machine learning initiatives to solve challenging business problems in the financial services industry. You will provide technical leadership, design and implement machine learning applications, optimize data pipelines, and mentor engineering teams. The role requires at least 10 years of experience in data-intensive solutions using distributed computing, proficiency in Python, Scala, C, C++, and expertise in machine learning development lifecycle.
Senior Manager, Machine Learning Engineering at Capital One focused on designing, building, and implementing ML applications at scale. Responsibilities include developing ML models, optimizing data pipelines, and ensuring successful deployment of ML models. Requires 8+ years of experience in data-intensive solutions using distributed computing, programming in Python, Scala, or Java, and leading teams in developing ML solutions.
Collaborate with Agile teams to design, develop, test, and implement technical solutions using full-stack development tools and technologies. Utilize programming languages like Java, Scala, Python, and Cloud services for data warehousing. Share expertise with tech trends and mentor team members. Develop cloud-based solutions for financial empowerment. Perform unit tests and code reviews for performance optimization.
Senior Data Scientist role at Capital One's AI Foundations Specialist Models Data Science team, working on AI/ML solutions for the mobile app. Responsibilities include partnering with cross-functional teams, leveraging technologies for data analysis, expert in NLP, building ML and NLP models, and translating complex work into business goals.
As a Principal Data Scientist, you will work on consumer identity machine learning projects at Capital One. You will be responsible for developing machine learning models, conducting experiments, and analyzing large amounts of customer data to improve customer experiences and business outcomes.
The Principal Data Scientist - NLP at Capital One will work on building AI powered products to transform financial services, specifically focusing on Natural Language Processing and Large Language Models. The role involves collaborating with cross-functional teams to deliver customer-friendly experiences and operationalize machine learning models in production systems.
Senior Manager position in Data Science at Capital One, leading a team to deliver AI-powered products using cutting-edge technologies. Responsibilities include building machine learning models, collaborating with cross-functional teams, and translating complex work into business goals.
Top Companies in San Francisco Bay Area, CA Hiring Data + Analytics Roles
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