Top Analytics Jobs in San Francisco, CA
The Cyber Analyst will focus on Digital Forensics and Incident Response (DFIR) by delivering incident investigation and response services, analyzing digital evidence, identifying root causes of incidents, participating in recovery efforts, and creating reports and recommendations for clients.
As a Senior GTM Systems Analyst, you will optimize systems and processes for the GTM organization, collaborating with cross-functional teams, managing data, and resolving system issues primarily using Salesforce and Spiff. You will ensure efficient operations, lead projects, and maintain documentation to support organizational growth.
As a Logistics Analyst, you will support logistics operations by analyzing data, preparing reports on spend and fulfillment, and collaborating with various teams to improve processes. You'll maintain ERP data integrity, assist with compliance documentation for international shipping, and help ensure efficient inventory management.
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The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
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.
Lead the late-stage upstream process development for AAV gene therapy by optimizing and scaling up processes for clinical and commercial manufacturing, ensuring compliance with GMP regulations, and collaborating with cross-functional teams.
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 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.
Lead the data and analytics function at LiveRamp, driving cross-functional innovation, implementing best practices in data management and governance, and overseeing data strategy execution. Collaborate with senior leaders, lead transformation projects, and ensure timely delivery of data insights. Utilize modern data technologies and tools to build a robust data ecosystem and establish data governance frameworks for quality and compliance.
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