Top Senior Level Analysis Reporting Jobs in San Francisco, CA
Seeking an experienced Senior Staff Data Scientist to lead machine learning efforts, develop and deploy ML models, improve product experiences, and extract insights from data. Must have 8+ years of Data Science and machine learning experience, strong programming skills, proficiency in Python and SQL, and experience with cloud-based platforms like AWS Sagemaker.
Lead Data Analyst role at Hims & Hers Health, Inc. focusing on evolving the electronic medical record (EMR) product through data analysis, experimental design, and collaboration with cross-functional teams. Responsible for driving product improvements, defining success metrics, and presenting insights to senior leadership. Requires expertise in statistical methods, SQL, Python, visualization tools, and a degree in Statistics or Mathematics.
The Manager, Cyber eDiscovery Senior Analyst at Capital One is responsible for utilizing eDiscovery and forensic software to collect electronically stored information, process data, provide technical support, and administer the enterprise eDiscovery application. The role involves coordinating data transfers, troubleshooting application and infrastructure issues, and communicating with internal and external parties to support legal discovery and investigation requests.
Partner with a cross-functional team to deliver AI-powered products, leverage technologies to analyze large volumes of data, build AI models, and engage in applied research.
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As a Distinguished Architect at ServiceNow, you will lead AI initiatives, architect intelligent products using cutting-edge technologies like deep learning, large language models, and natural language processing. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, influence leadership, perform competitive analysis, and share thought leadership in the AI industry.
As a Distinguished Architect at ServiceNow, lead AI initiatives focusing on cutting-edge technologies like deep learning and natural language processing. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, influence leadership, conduct competitive analysis, and showcase thought leadership in the AI industry.
Lead end-to-end monthly compensation processing for all sales teams, design and manage new compensation plans, analyze sales data, ensure compliance with laws and policies, communicate changes to sales team.
PagerDuty is seeking a Senior People Analytics & Workday Specialist II to collaborate with stakeholders, design and deliver people analytics, and provide predictive analysis and insights. Key responsibilities include developing analytic roadmaps, creating dashboards in Workday, and delivering People business metrics. The ideal candidate is data obsessed and able to distill complex data insights into compelling stories for stakeholders.
Block is seeking an experienced Regulatory Examination Analyst with 5+ years of direct experience with federal regulatory examinations to provide organizational and substantive support to the Regulatory Team. Responsibilities include managing examination requests, coordinating responses, and ensuring compliance with lending regulations and banking best practices.
Lead team projects and conduct bioinformatics analyses to solve complex scientific problems. Provide technical leadership and collaborate across teams. Mentor junior members of the team.
Staff Data Analyst role at Gusto, responsible for leading data analysis, reporting, visualization, performance tracking, and promoting data-informed mindset within the organization. Requires at least 7 years of experience in a product-focused software company.
As a Senior Data Analyst in Product Lifecycle Marketing, you will leverage data and analytics to optimize marketing efforts, measure impact on brand health, and improve marketing efficiency. Responsibilities include guiding measurement of marketing activities, developing predictive models, and partnering with marketing leadership. Requires 5+ years of experience in Marketing Analytics, knowledge of FinTech/Banking/Credit, and expertise in data science techniques and marketing channels.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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