Top Remote Data Science Jobs in San Francisco Bay Area
Looking for a Senior Data Scientist to join the Risk Data team at Square. Responsibilities include identifying and preventing fraud & credit risks, developing data pipelines, partnering with various teams, and influencing Square's global Risk roadmap.
Seeking a Data Rockstar to work with a data-centric group of analysts, data scientists, and engineers. Responsibilities include developing predictive models, effective dashboards, and providing insights for Cloud and Infrastructure strategy using AI and Machine Learning technologies.
Lead and drive insights and action through business analytics. Monitor key metrics, conduct deep dive analysis, and support company revenue forecasting. Collaborate with cross-functional teams and contribute to the data culture of the company.
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Looking for a Data Scientist to join the Risk Data team at Square. Responsibilities include identifying and preventing fraud & credit risks, developing data pipelines, working with cross-functional teams, and influencing product roadmaps. Requires 5+ years of experience with SQL, Python, and Looker.
Part of a world-class Data Science team leveraging data to drive insights about products and customers. Responsible for analyzing customer engagement, identifying and measuring product success, and influencing product investments. Collaborate with cross-functional teams, apply technical expertise, develop hypotheses, test opportunities, and shape product development through data analysis and storytelling.
The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.
Senior Data Scientist role focused on marketing analytics, optimization of campaigns, and business growth through applied analytics techniques. Responsibilities include improving marketing measurement, developing quantitative models, analyzing customer behavior, and optimizing marketing campaigns.
Create and maintain dashboards, queries, and models to monitor the health of IoT products, collaborate with cross-functional teams, and contribute to the improvement of customer experience in hardware reliability and quality at Samsara.
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.
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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