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Top Remote Data Management Jobs in San Francisco Bay Area, CA
This role focuses on leading AI and Generative AI projects, managing teams to develop analytical models, and transforming business processes. Responsibilities include collaborating with clients, mentoring team members, and architecting AI solutions. The manager will uphold professional standards and drive innovative delivery to meet client expectations.
Join the Analytics and Data Science team at Hims & Hers, where you will utilize data-driven decision making and partner with various groups in the company. You will help drive key business decisions, develop AI capabilities, and create advanced analytics tools to enhance user experiences and overall outcomes in health and wellness.
As a Principal Data Engineer at Atlassian, you will lead the development of scalable datasets and data pipelines, manage analytical data models across various business functions, and enhance data-driven practices within the organization. Your role includes optimizing data storage and retrieval, utilizing advanced analytics tools, and fostering a data-driven culture.
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The Analyst Relations Coordinator at Exabeam will manage analyst engagement plans, facilitate involvement in key industry reports, respond to analyst requests, and support demand generation efforts using analyst insights. This role requires collaboration with various teams to ensure accurate representation of Exabeam’s cybersecurity offerings and to create a library of analyst references.
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.
Lead the Personalization ML Engineering team at Cash App, focusing on integrating machine learning into product development, mentoring engineers, and identifying AI opportunities to enhance user experience. Collaborate with senior leadership and contribute to strategic planning while fostering a culture of learning and staying updated with AI advancements.
As Director of Data Science and AI, you will lead a diverse team of Data Scientists, Machine Learning Engineers, and Data Analysts. Your role involves finding AI opportunities, overseeing the design and deployment of ML solutions, and collaborating with product and engineering leaders. You will guide your team towards project objectives and contribute strategically to the company's goals.
As a Manager on the Revenue Analytics team, you will support a Revenue segment to drive growth strategy, optimize decision making, and execute analytics solutions. Responsibilities include establishing KPIs, performance benchmarks, and leading indicators, analyzing GTM motions, and scaling impact through data infrastructure.
The Data Governance Manager will implement an enterprise data governance framework, develop policies, ensure data quality and security, and collaborate with IT and other departments. Responsibilities include managing data lifecycle processes, conducting audits, and promoting data governance best practices throughout the organization.
The Financial Analytics Lead at Anchorage Digital will design and implement systems for financial data analytics and process automation. The role focuses on automating financial reporting and reconciliations, collaborating with cross-functional teams, and developing analytical solutions for crypto activities to support accurate reporting and prepare for an eventual IPO.
Top Remote Companies in San Francisco Bay Area, CA Hiring Data + Analytics Roles
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