Top Data & Analytics Jobs in San Francisco Bay Area, CA

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.

As a Senior Machine Learning Engineer, you'll develop and implement advanced machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers, ensuring AI integration across Atlassian products with a focus on practical applications and efficiency.

As a Principal Machine Learning Engineer at Atlassian, you will lead the development of advanced machine learning algorithms, work with diverse teams to integrate AI capabilities into products, design architectures, conduct experiments, and mentor junior engineers, thereby enhancing AI functionalities across the platform.

Lead and drive impactful change through data analysis, strategic initiatives, and influencing product strategy in a world-class Data Science team at Atlassian.

As a Senior Machine Learning Engineering Manager, you will lead the development and implementation of advanced machine learning algorithms, collaborating with various teams to integrate AI functionalities into Atlassian products and services. Responsibilities include designing architectures, conducting experiments, and guiding junior engineers to ensure the effective application of AI across the organization.

As a Principal Data Scientist at Atlassian, you will lead the experimentation practices and analyses, collaborating with various teams to enable trustworthy data-driven decisions. Your role involves developing novel methodologies to enhance the experimentation lifecycle and supporting teams in scaling experimentation capabilities.

As a Principal Data Analyst, you will leverage your expertise to analyze complex financial data, drive insights, and enhance the financial data infrastructure in collaboration with FP&A, Data Engineering, and Financial Modeling teams. You will automate analyses and report solutions while creating visualizations using AWS.