Top Senior Level Data Science Jobs in San Francisco Bay Area
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.
Lead data scientist role responsible for driving strategic vision, growing the team, and developing a world-class data science and machine learning organization. Partner with executive leaders to leverage data science as a strategic differentiator and solve critical company challenges. Required qualifications include 5+ years of hands-on data science experience, strong business acumen, and academic/research foundations.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with Engineering and Product teams, build elegant architectures, architect reusable components, and influence leadership with AI strategies and advancements.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the company's roadmap. Architect elegant and reusable components for AI solutions and influence leadership on AI strategies and advancements.
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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.
Senior Data Scientist role at Snap Inc. Responsibilities include quantitative analysis, statistical modeling, and driving data-driven decisions for product optimization. Requires expertise in SQL, Python, R, and 5+ years of experience in data science and quantitative analysis.
Seeking a Sr. Data Scientist to apply expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful insights for informed decision-making. Responsibilities include collaborating with cross-functional teams, conducting machine learning analyses, and communicating best practices in quantitative analysis.
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.
Partner with cross-functional teams to deliver AI-powered products, build AI foundation models, engage in high impact applied research, and translate complex work into tangible business goals.
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.
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.
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.
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