Top Data Science Jobs in San Francisco, CA
The Scientist II will design and execute in-house assays for polysaccharide analysis, maintain routine operations of analytical instruments, ensure testing compliance, and mentor junior scientists while collaborating with cross-functional teams.
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
As an NFL Data Scientist, you will develop and improve machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, performance analysis, documentation, and collaboration with data engineering and product teams.
The Associate Scientist will be responsible for developing and validating optogenetic gene therapy vectors, executing assays for discovery and translational research, and supporting preclinical and clinical assays. They must have a minimum of 6-8 years of relevant experience in molecular biology and microbiology techniques.
The Data Structuring Specialist will structure and ingest customer datasets for the Uncountable Web Platform. This role involves manual data cleaning and utilizing data management skills to support the analysis needs of scientists working with chemical and material experiments.
The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.
As a Lead Data Scientist, you will develop statistical methods for data products, mentor other data scientists, and collaborate with engineers to scale solutions. You will also work on building experimentation tools and enhancing user-facing features while ensuring high standards in statistical practices.
The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.
Senior/Staff Data Scientist - Collision Avoidance System
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.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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