Top Remote Data & Analytics Jobs in San Francisco Bay Area
Join Vouch as a Senior Underwriting & Claims Analyst to expand analytical capabilities, develop data-driven underwriting practices, and extract insights from insurance datasets. Collaborate with leadership to enhance risk assessment capabilities and support organizational goals. Manage internal and external reporting requests to improve performance metrics and meet stakeholder needs.
Join Vouch as a Senior Underwriting & Claims Analyst to expand analytical capabilities, work on data-driven underwriting practices, and enhance risk assessment capabilities. Collaborate with leadership to provide valuable insights for decision-making processes.
As the Installation Partner Manager, you will lead an organization of partners responsible for supporting the Professional Services Experience post-sale. Your role includes conducting business reviews, collaborating with cross-functional teams, driving process improvements, and resolving customer escalations.
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The Principal Data Scientist will be the primary analytics partner to the Community & Learning team at Atlassian. They will influence strategy, define KRs, lead high impact projects, and build tools for reporting and insights.
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The Staff Data Engineer at Square Banking will work on building a Financial Data Mesh Platform using real-time Big Data technologies. Responsibilities include designing data processing systems, building core datasets, addressing data quality issues, and collaborating with cross-functional teams to accelerate decision-making processes.
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Seeking a Senior Machine Learning Engineer to contribute to shaping the future of ML/AI at TaskRabbit. Responsible for building scalable ML infrastructure, pipelines, monitoring services, and collaborating with engineering teams. Requires 3+ years of experience and expertise in Python.
Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with cross-functional teams, monitor and evaluate model performance, and stay up-to-date with the latest machine learning and fraud detection techniques.
Designs, develops, and programs methods and systems to analyze big data sources and generate insights and solutions. Interacts with teams to identify data analysis questions and issues. Cleanses and integrates large datasets from multiple sources. Identifies meaningful insights and communicates findings to managers.
Lead the development and implementation of analytical capabilities and applications, create machine learning models and pipelines, oversee technology proof of concept projects, collaborate with Data Scientists and Analysts, mentor junior engineers, and analyze data to gain insights into user behavior.
As a FinOps Analyst at Datadog, you will identify and optimize cloud spend, partner with engineering teams, and work on cost visibility and forecasting. The role involves building cost models, analyzing cloud usage, and discovering insights to drive cost optimizations. Ideal candidates have experience in cloud cost analysis, knowledge of major cloud providers, strong communication skills, and the ability to collaborate with both engineering and finance teams.
Data Scientist role at Grammarly's Enterprise Data Science team, focusing on marketing, demand generation, revenue operations, and sales development. Requires strong track record in B2B data science projects and familiarity with enterprise buyer sales process.
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