Top Data Science Jobs in San Francisco, CA
Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.
The Senior Revenue Operations Analyst will execute commission runs, provide data-driven insights to the GTM team, refine Salesforce workflows, collaborate with engineering on integrations, oversee automated email workflows, and maintain GTM process documentation.
As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.
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The Outcomes Research Data Scientist will analyze Tempus data for real-world evidence (RWE) studies, interpret results, communicate findings, collaborate with various teams to enhance data quality, and ensure compliance with regulations. Candidates should possess experience in oncology, biostatistics, and handling observational healthcare data.
Lead a team of analysts in Global Data Science, focusing on innovative solutions using Visa's vast data set. Engage with internal and external partners to address strategic business questions, develop visualizations, and create custom data models. Drive product optimization and improve business strategies through predictive modeling and data analysis.
The Remote Sensing AI Researcher will design machine learning infrastructure, develop algorithms and deploy models for hyperspectral imagery. Responsibilities include conducting research on AI/ML applications, mentoring colleagues, and contributing to publications. Collaboration with data scientists and software teams is essential for production transitions.
The Senior Scientist will lead the development and execution of peptide quantitative assays from discovery to preclinical studies, utilizing LC-MS techniques. Responsibilities include method development, writing reports and SOPs, and managing cross-functional collaboration. The role involves ensuring compliance with regulatory standards and may require acting as a subject matter expert for external interactions.
The Data Scientist will leverage analytical skills in data processing, modeling, and visualization to evaluate investments and identify growth opportunities across various industries. Responsibilities include data analysis, model development, creating visualizations, collaborating across functions, and driving the use of AI technologies.
As a Data Scientist at Gauntlet, you will conduct research to improve the safety and efficiency of DeFi protocols through data analysis and mechanism design. You will manage client engagements, produce public-facing research, and create visual dashboards to effectively communicate insights derived from complex datasets.
The Scientist in the Inflammation Biology group at Gilead will support drug development for inflammatory and autoimmune diseases. Responsibilities include designing and conducting in vitro experiments, developing new assays, evaluating new technologies, and collaborating with cross-functional teams to advance drug discovery programs and prepare research reports.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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