Top Remote Data Science Jobs in San Francisco Bay Area
The Senior Data Scientist at Sensor Tower will leverage digital advertising knowledge to drive strategies that improve the accuracy and offerings for their Digital Marketing insights solution. Responsibilities include developing data modeling algorithms, consulting on AI usage, and acting as a subject matter expert in digital advertising.
As a Senior Data Scientist at Square Banking, you will partner with cross functional stakeholders to shape and execute strategies for expanding credit eligibility, enhancing loan profit, and improving user experience globally. Responsibilities include influencing product roadmap, leading A/B testing, identifying lending product profiles, and owning business metrics for success.
As a Senior Data Scientist at Square Banking, you will partner with various teams to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve user experience on a global scale. Responsibilities include influencing product roadmaps, leading A/B testing for loans growth and optimization, and designing business metrics for success.
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Contribute to building next generation Large Language Models for Enterprise Language Generation, collaborate with a team to develop AI-powered solutions for customers, and work on practical and scalable AI/ML projects.
Staff Data Scientist role at a SaaS company focusing on customer lifecycle analysis, segmentation strategies, and analytics to drive business growth. Responsibilities include deep analytics, experimentation design, personalized segmentation, trend identification, and cross-functional collaboration. Requires 8-10+ years of experience using analytics for business decisions and proficiency in SQL, statistical analysis, and multivariate experiments. Preferred qualifications include R or Python scripting, Tableau skills, and experience in predictive modeling.
The Lead Data Specialist will supervise a team within Data Management, manage day-to-day operations, and interact with internal study teams and external end users to maintain exceptional database integrity.
Develop standardized data models to access and process real-world data for generating regulatory-grade evidence in support of cancer detection. Collaborate with cross-functional teams and external collaborators to ensure data quality and develop data processing strategies. Apply statistical methods and machine learning algorithms for data analysis and interpretation.
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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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.
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