Top Data & Analytics Jobs in San Francisco, CA
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.
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The Data & Analytics Specialist will lead the development and maintenance of Operations Scorecards, ensuring data quality and timely reporting of KPIs. This role requires collaboration across teams to manage data sources effectively and derive insights for various workstreams in compliance with industry standards.
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 Deep Learning Researcher at DataRobot will advance generative AI initiatives, identify technology gaps, execute long-term research plans, and collaborate with technical experts and AI teams. Responsibilities include crafting strategic research plans, producing scientific publications, and developing prototypes that capture new AI technologies for business value.
As an eDiscovery Associate at Bright Labs, you'll apply expertise in forensics, predictive analytics, and machine learning to enhance case strategies and optimize litigation profiles. Key responsibilities include designing eDiscovery workflows, identifying risks, and leveraging advanced data techniques.
The Research Associate I will conduct lab experiments and support research under the guidance of a Scientist. Responsibilities include method development, data analysis, maintaining scientific instruments, and preparing SOPs while ensuring compliance with safety protocols.
The Senior Analyst, Product & Credit Strategy will collaborate with engineering, design, marketing, and sales teams to influence product development and credit strategies. Responsibilities include data analytics, credit analysis, and working with data scientists to enhance underwriting models. The role demands strong communication skills and the ability to manage multiple projects.
As a Senior Analyst of FP&A, you will lead budgeting and forecasting processes, manage revenue cycle, prepare financial performance updates, analyze financial metrics, perform variance analysis, and assist with investment analyses, contributing to the strategic decision-making for growth.
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