Top Remote Data & Analytics Jobs in San Francisco, CA
The AI Research Scientist at Tavus will lead research on generative video models, work with the Applied ML team for productionization, and stay updated on industry advancements. The ideal candidate has experience in video technology, particularly with facial animation and video processing techniques.
As a Staff Data Scientist at ClassDojo, you will leverage data to shape strategic directions and tackle product and business challenges. Your focus will include analyzing data for user insights, designing tests, and contributing to product improvements in a high-performing cross-functional team.
The Developer Architecture Analyst role at Imply involves gathering insights from Apache Druid users, maintaining qualification criteria for real-time analytics databases, deploying and evaluating technologies, and shaping marketing content. You'll also influence product roadmaps based on data collected and provide educational materials for developers.
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The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.
As a Field Application Scientist, you will support sales and customers with technical expertise on products related to proteomics. Responsibilities include conducting demos, managing technical support, collaborating with internal teams, and ensuring instrument utilization. The role requires excellent communication skills and a background in life sciences.
The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.
As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.
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The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.
The Senior Manager of Analytics (Ad Sales) will lead the development of a robust analytics platform, fostering data-driven decision-making across Fox. Responsibilities include managing a team of analysts, translating business needs into technical requirements, and enhancing reporting and insights to drive efficiencies within the organization.
The Manager, Data Governance will lead data governance initiatives, ensuring data accuracy and reliability primarily within Salesforce. Responsibilities include managing a team, developing a governance strategy, resolving data issues, and collaborating across departments to enhance data quality and support business decisions.
Top remote Companies in San Francisco, CA Hiring Data + Analytics Roles
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