Top Data & Analytics Jobs in San Francisco, CA
The Senior Machine Learning Engineer will work on developing AI-powered software, fine-tuning large language models, conducting multimodal product research, and ensuring model alignment to improve user experience at Scribe.
As a Staff LLM Data Scientist, you will design and fine-tune LLMs, build advanced Retrieval Augmented Generation pipelines, implement evaluation frameworks, and deploy models into production. A strong focus on generative AI applications in investment is needed, alongside collaboration with product and engineering teams.
As a Senior Business Systems Analyst at the Federal Reserve Bank of San Francisco, you will focus on FinOps, cloud financial management. Responsibilities include analyzing data, documenting requirements, creating reports, monitoring alerts, developing AI systems using Python and SQL, providing insights, and optimizing business processes.
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Lead a research group to invent the future of video generation for creators, with a focus on control mechanisms for video creation. Requires a PhD in Computer Science, experience in generative AI, and a passion for creative applications like filmmaking.
The Senior Process Analyst will design and deliver transformation and continuous improvement roadmaps, focusing on optimizing global processes in finance planning and analysis. Responsibilities include facilitating workshops, performing gap analyses, documenting processes using BPMN, and driving adoption of transformations through effective stakeholder engagement.
As a Business Intelligence & Data Analytics Intern at Tanium, you'll analyze key metrics and leverage data from sources like Salesforce and SQL to support business growth. You'll present findings to management, develop predictive models, and build insightful dashboards, all while gaining hands-on experience in an interdisciplinary team environment.
As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.
The ATM Configuration & Troubleshooting Analyst will handle ATM configurations, monitor hardware behavior, troubleshoot transaction issues, and support QA processes. Responsibilities include loading images onto ATMs, maintaining configuration databases, and ensuring equipment operational effectiveness while coordinating with external support when needed.
In this role, you will lead the design and development of custom DNA-based applications in the NGS space, conducting experiments, analyzing data, and collaborating with bioinformaticians to enhance NGS products. You will also drive process improvement initiatives and ensure compliance with regulatory standards.
As a Staff Data Engineer, you will lead the development of data systems to support AI and Remote Sensing insights, design scalable data access pathways, mentor engineers on best practices, and collaborate with cross-functional teams to enhance products through effective data management and technical leadership.
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