Top Analysis Reporting Jobs in San Francisco, CA
The Decision Scientist will generate insights to drive business growth by acquiring and cleaning data from multiple sources, structuring data models, analyzing data for insights, and delivering those insights to executives. They will collaborate with teams to understand business problems and support Salesforce's data culture expansion.
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As a Research Scientist at Databricks, you will advance deep learning techniques, create novel methodologies for training generative AI models, and work collaboratively with a diverse team to improve model capabilities and user accessibility to AI technologies.
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The Executive Researcher will lead top-of-funnel recruiting strategies for executive hiring, utilizing advanced search techniques to identify high-potential candidates in AI and tech industries. The role involves creating market maps, developing sourcing strategies, and collaborating with stakeholders to understand hiring needs while providing insights on industry trends and salary benchmarks.
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The Data Analyst will lead the management and experimentation processes of key growth levers, develop analytical frameworks, optimize strategies, and collaborate with stakeholders to enhance performance and address data quality issues. This role emphasizes proactive analysis to support Lyft's growth initiatives.
The Legal Support Analyst will assist attorneys and clients by generating reports, preparing documents for patent filings, monitoring deadlines, and managing files between the firm and other counsels. The role includes utilizing various legal databases and office applications to support patent-related tasks efficiently.
The Research Scientist will push forward the fields of AI and biology, contribute to the company's research roadmap, and lead projects in foundation models. Responsibilities include collaboration with partners, implementing software for research, and engaging in the scientific community through publications and open source releases.
AI Researcher responsible for developing novel architectures, system optimizations, and algorithms to push the frontier of open models. Collaborate with cross-functional teams and stay updated on the latest advancements in machine learning. Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field required.
The Data Scientist will automate data capture and analysis for experimental biology, collaborate on data models, implement bioinformatics tools for NGS data, and document processes. This role supports AI-driven protein design and enhances productivity in laboratory workflows.
The role involves analyzing transmission modeling and market fundamentals in power markets like SPP, MISO, PJM, NYISO, and ISO-NE. It includes performing SCED studies, supporting energy optimization, analyzing market impacts, managing external consultants, and participating in stakeholder meetings.
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As the Product Analytics Lead, you will partner with the Product team to set product strategy and drive growth through data analysis, experimentation, and insights. Responsibilities include synthesizing data into visualizations, identifying growth opportunities, leading A/B testing, and communicating results to stakeholders.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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