Top Data & Analytics Jobs in San Francisco, CA
The Sr. People Data Analyst will analyze and interpret workforce data to provide insights that inform HR strategy and decision-making. This role involves developing dashboards and reports, collaborating with HR and business leaders, and ensuring data integrity. The analyst will utilize data visualization tools to communicate key insights effectively.
As the Head of Data at Philo, you'll lead a team of Data Scientists, Data Engineers, and Data Analysts to enhance data-driven decision-making across the organization. You will collaborate with various departments to deliver insights from our extensive data pipeline and oversee the execution of data projects related to user engagement and content personalization.
The Data Scientist will leverage data and technology to aid the marketing team in optimizing their strategies. Responsibilities include data collection and statistical analysis, building revenue optimization models, and defining key performance indicators.
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As a Data Scientist on the Product team at Notion, you will analyze user interactions, design experiments to evaluate features, manage data sets, and collaborate closely with product and engineering teams to influence the product roadmap based on data-driven insights.
As a Data Scientist, you will collaborate with various teams to leverage data for product development and financial security improvement, employing analytical methods and communicating insights effectively.
The Compliance Analyst will assess compliance risks and controls, identifying gaps for remediation. Responsibilities include conducting assessments, documenting results, preparing reports for leadership, and supporting compliance monitoring programs. The role requires monitoring compliance landscapes, research on regulatory changes, and assisting Privacy and AI teams.
The Analyst Relations Senior Manager at Samsara will develop analyst engagement programs to enhance the Connected Operations platform and build long-term relationships with analysts in the Industrial IoT, Video Surveillance, SaaS, and cloud computing sectors. This manager will cultivate positive industry relationships and oversee interactions with key analyst firms.
In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.
The Sr Manager, Machine Learning Platform will lead the Model Engineering team at Disney, focusing on building a state-of-the-art ML runtime environment. Responsibilities include mentoring the team, providing technical direction, and partnering with stakeholders for scalable ML solutions while maintaining a culture of innovation and collaboration.
The Senior Analyst, Fraud, Risk, Strategy, and Analytics will lead fraud detection and prevention strategies, managing analytical projects to identify and mitigate fraud risks. Responsibilities include developing fraud analytics, maintaining fraud rules, managing cross-functional fraud reviews, and prioritizing risk management improvements in a dynamic environment.
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