Top Senior Level Data & Analytics Jobs in San Francisco Bay Area
Seeking a Cloud Security Competitive Intelligence Analyst with extensive experience in the cloud security market to provide guidance and analysis for product and sales teams. Responsibilities include developing a deep understanding of competition, providing deal support, and making recommendations on sales tactics and product strategy. This individual contributor role is remote-based.
Conduct advanced research and modeling to solve strategic HR challenges and improve the employee experience. Design and execute research studies, analyze survey data, present findings to stakeholders, and provide actionable research insights to senior leaders.
Build and enhance AI models for Gusto's customers. Develop natural-language interface and improve LLM models. Collaborate with infrastructure teams and research novel AI techniques. Minimum 6 years of software engineering experience.
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Develop and maintain end-to-end data pipelines, backend ingestion, and participate in building Samsara's Data Platform for advanced automation and analytics. Work with various data sources including CRM and product data. Join a critical team within Business Technology focused on enabling integrated data layers and data-driven decision-making.
Individual contributor position as a Senior Manager, Data Science in the Emerging ML team at Capital One. Responsibilities include building machine learning models, partnering with business teams, and writing software for data analysis. Ideal candidate is curious, creative, technically proficient, and statistically-minded.
Seeking a Senior Director for Global People Services & Analytics at Cloudflare. Responsible for leading and transforming employee experience, overseeing Global Mobility, and driving People Analytics strategy. Must have a track record of using technology to innovate and create a world-class employee experience.
As a Senior Data Scientist at Square Banking, you will partner with cross functional stakeholders to shape and execute strategies for expanding credit eligibility, enhancing loan profit, and improving user experience globally. Responsibilities include influencing product roadmap, leading A/B testing, identifying lending product profiles, and owning business metrics for success.
As a Machine Learning Engineer on the Embeddings team at Liftoff, you will have end-to-end ownership of ML models, adopt or build new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence the roadmap for your team.
Looking for a Data Scientist with expertise in fraud and risk to detect and prevent threats to the community. Responsibilities include enhancing risk and fraud measurement, defining experimentation playbook, partnering across the business, building KPIs and actionable dashboards, and advancing best practices.
Organize, manage business operations for global Sales function, handle executive-level projects, interact with various company aspects, focus on clean and accurate reporting, work in a dynamic, high-growth global environment.
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