Top Data & Analytics Jobs in San Francisco, CA
As a Principal Data Engineer at Atlassian, you will be responsible for building data solutions that support crucial business decisions. Your role includes developing backend systems, designing data models, managing analytical data pipelines, and enabling a data-driven culture throughout the organization.
The Senior Data Scientist will collaborate with business teams to define priorities, develop models and analyses, process large datasets, and communicate insights with diverse audiences. Responsibilities include identifying impactful projects, staying current with data processing techniques, and technical guidance to other team members.
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As a Staff Data Scientist on the Dashboard Analytics team, you will leverage data engineering, business intelligence, and machine learning to drive data-driven decision-making and optimize seller experiences. You will collaborate with cross-functional teams, define key metrics, and communicate insights to inform strategic initiatives.
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The Senior Machine Learning Engineer will design and implement ML pipelines to enhance identity verification, reduce inauthentic identities, and provide risk-based customer experiences. The role emphasizes mentorship, collaboration across teams, and the development of a robust ML platform for Cash App's extensive user base.
The Senior Machine Learning Engineer will focus on utilizing machine learning technologies to develop risk-based solutions that enhance customer verification processes and reduce fraudulent identities. Responsibilities include designing ML pipelines, maintaining model platforms, and shaping long-term ML strategies while collaborating with various teams at Cash App.
As a Senior Marketing Data Analyst at Sendbird, you will drive data-driven decision-making by establishing key metrics, analyzing historical data, and reporting on performance. You'll collaborate with stakeholders, create dashboards, and implement data best practices to enhance business outcomes in a B2B Saas environment.
As a Decision Analytics Associate Consultant at ZS, you will develop and apply advanced statistical models, leverage analytic techniques, design custom analyses, synthesize results, and manage client relationships. You will also mentor Associates and improve problem-solving skills within the team.
The Data Architect Manager at PwC will design and develop robust data solutions, transform raw data into actionable insights, and lead projects in data engineering. Responsibilities include developing data pipelines, mentoring team members, collaborating on data strategies, and ensuring compliance with data governance policies.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
The Senior Data Analyst will leverage data to drive strategic decision-making and contribute to organizational success. Responsibilities include collaborating with various teams, performing data analysis, developing dashboards and visualizations, monitoring product performance, and promoting a data-informed culture within the company.
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