Top Data & Analytics Jobs in San Francisco, CA
As an AI Engineer, you'll train and tune models, perform evaluations using AI/ML models, engage in data collection design, and maintain large-scale pipelines. You'll collaborate with AI engineers to enhance transformer models and build evaluation frameworks.
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As a Principal Data Scientist, you will collaborate with cross-functional teams to apply quantitative analysis and experimentation, develop business strategies, and shape product development using data insights. You will also communicate findings to leadership and measure product success.
As a Staff Machine Learning Engineer on the Conversational AI team, you will lead projects to automate and optimize Square products using cutting-edge machine learning techniques. Responsibilities include collaborating cross-functionally, advocating for best practices, and mentoring team members while building and productionizing ML solutions.
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As a Senior Marketing Data Analyst, you will synthesize insights to inform decision-making and drive business outcomes. Responsibilities include establishing key metrics, ensuring data availability and good practices, analyzing historical data for performance tracking, and creating structure in ambiguous situations.
The Director of Data Science at Snap Inc will lead a team of data scientists to drive revenue growth through advanced analytics. Responsibilities include building machine learning models, improving data governance, and delivering actionable insights to senior executives. The role focuses on solving complex business questions and enhancing customer engagement using data-driven strategies.
The Senior Data Analyst will drive data-informed decision-making by overseeing dashboards, ensuring data quality, and maintaining key metrics. Responsibilities include collaborating with product managers and engineers, evaluating marketing activities, and developing databases and dashboards to analyze data effectively.
As a Senior Business Analyst, you will identify growth opportunities through data analysis, support product strategy, track performance metrics, and provide actionable insights to product teams. You will collaborate in a cross-functional team to tackle challenges in the academic publishing market and enhance collaboration among researchers.
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The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams at Taskrabbit. This role involves providing strategic vision, managing teams, and optimizing models for business growth while collaborating across various departments to enhance product performance and user experience.
As a Fraud Investigations Analyst, you will review identity theft and account takeover claims, evaluate risks, and conduct customer interviews to gather information while utilizing internal data and research tools. You will escalate suspicious activities and manage assigned cases to support the Fraud Investigations and Operations Department.
As a Senior Architect, you will provide guidance on DataBricks, design data flow and processing pipelines using modern tools like Spark, and ensure data management and integrity. You'll coach consultants, collaborate with data application owners, and contribute to best practices in a variety of sectors including Healthcare and Financial Services.
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