Top Data Science Jobs in San Francisco, CA
The Staff AI Scientist will develop and deploy AI and machine learning methods for analyzing large healthcare datasets. Responsibilities include designing algorithms for automation of clinical tasks, statistical analysis to ensure algorithm accuracy, researching new technologies, and collaborating on innovative AI capabilities.
The Data Scientist will develop longitudinal datasets from RWD, create machine learning models for healthcare data, enhance LLM/NLP tools, and work with cross-functional teams to deliver products leveraging structured and unstructured clinical data.
Lead the integration of human genetics data with phenotypic and omic data for target discovery in therapeutic areas. Collaborate with multidisciplinary teams and contribute to insitro's long-term therapeutic strategy. Apply cutting-edge machine learning and statistical genetics techniques to advance therapeutic programs.
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The Senior Data Scientist builds scalable procedures for extracting valuable insights from diverse data sources. Responsibilities include producing algorithms and tools for data analysis, collaborating with teams and partners, and developing innovative solutions through exploratory data analysis and multi-touch attribution.
As a Staff Data Scientist, you will analyze data, design experiments, and provide insights to influence product decisions. You will mentor team members and develop tools for scaling analyses. The role requires collaboration with product managers and engineers to enhance user experience through data-driven solutions.
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As a Senior Data Scientist at Faire, you'll work on developing machine learning models to optimize shipping costs, evaluate retailer creditworthiness, and enhance retailer acquisition through predictive modeling and SEO strategies, collaborating with a skilled team.
As a Staff Data Scientist at Aircall, you'll lead data-driven projects focusing on AI and machine learning to optimize operations and enhance business success. Your responsibilities include overseeing the entire model lifecycle, mentoring team members, collaborating with AI engineers, and communicating insights to stakeholders, all while fostering a culture of experimentation and maintaining high standards in data governance.
The Lead Data Scientist will transform data into actionable insights for marketing strategies using advanced analytics and machine learning. Responsibilities include collaborating with teams, developing predictive models, optimizing marketing initiatives, and providing strategic recommendations based on data analysis to enhance customer acquisition and retention.
As a Senior Data Scientist, you will lead the creation of statistical and machine learning models, design experiments, analyze product performance, and collaborate with various teams to enhance AI product offerings. Your insights will drive strategic decisions and improve messaging strategies based on data-driven conclusions.
The Senior Data Science Consultant will collaborate with clients and internal teams to analyze data, build predictive models, and derive insights. Responsibilities include data acquisition, modeling, presenting findings, and contributing to internal projects while working with advanced analytics and machine learning techniques.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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