Top Analytics Jobs in San Francisco, CA
The role involves designing and maintaining the Research & Data Platform (RDP) for the Fundamental Equity Tech team at BlackRock. Responsibilities include managing back-end technologies and data infrastructures using Python and databases, as well as utilizing front-end tools like Tableau and Miro. The candidate will also lead initiatives to innovate and integrate new technologies and tools within the investment management process.
Lead a team of data scientists and analysts focusing on creating safety metrics for self-driving vehicles. Responsible for developing metrics strategy, enhancing machine learning models, and ensuring data science best practices. Engage with various stakeholders to drive data-informed decision making in the AV industry.
The Senior Platform Operations Analyst will be responsible for technical sourcing and procurement across data centers, server SKUs, networking equipment, and SaaS platforms. The role involves developing sourcing strategies, building supplier relationships, negotiating contracts, and enhancing operational efficiency in collaboration with internal teams.
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As an Operations Analyst, you will provide insights and analyses to support Heroku's strategic decisions. You'll manage data, create dashboards, analyze metrics, and collaborate with various teams. Your role involves cleaning and structuring data, improving team efficiency through automation, and communicating findings to executives.
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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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Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
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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 Senior Director of Data Engineering will lead data engineering initiatives at GoFundMe/Classy, overseeing the development of data pipelines and analytics tools. Responsibilities include collaborating with stakeholders, managing a team of data engineers and analysts, and driving best practices in data management and continuous improvement. Additionally, they will develop key product metrics and foster a culture of innovation.
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.
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