Top Artificial Intelligence Data Science Jobs in San Francisco, CA

Own end-to-end data science and ML work for B2C customers: build recommendation, forecasting, segmentation, and activation models; design A/B tests and causal analyses; create configurable multi-tenant model architectures; extract signal from sparse/noisy data; partner with engineering to productionize models and deliver analyses that change business decisions.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

As a Data Science Intern, you'll work on machine learning algorithms, tackling complex datasets and collaborating with experts to deliver enterprise AI applications.

Design realistic biological benchmarks and curate high-quality datasets to evaluate and train AI systems; analyze model failures, iterate on data and evaluation criteria, collaborate with ML researchers, and manage workflows and documentation across domain experts.

As the first Data Scientist, you will analyze user data and AI outputs to enhance content creation, define metrics, conduct A/B testing, and collaborate closely with cross-functional teams to improve product features.

The Data Scientist role involves creating and managing datasets for LLMs, developing high-throughput data processing scripts, and employing statistical analysis to ensure data quality and performance.

Seeking a Data Scientist with expertise in Full stack Development and AWS Architecture for a 3-6 month local project.

The Staff Data Scientist will design and build scalable machine learning systems, lead complex modeling projects, and synthesize diverse datasets to deliver predictive models for clients.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

The role involves advancing information literacy through AI and machine learning by assessing media trustworthiness, formulating metrics, prototyping ML techniques, conducting exploratory data analysis, and collaborating with product teams to drive impactful research.