Top Data & Analytics Jobs in San Francisco Bay Area, CA
The Staff Data Scientist will work with the Dashboard Analytics team to utilize analytics and machine learning to improve seller engagement and onboarding experiences. Responsibilities include creating metrics, collaborating with engineering, and driving data-driven decisions that impact organizational goals and customer experience.
The Data Scientist will use statistical and machine learning techniques to enhance decision-making for Square's unified point of sale product, driving seller value and overall technical excellence while collaborating with various teams.
As a Staff Machine Learning Engineer for Conversational AI at Square, you will lead machine learning projects, focusing on creating intelligent solutions across products. Responsibilities include collaborating with stakeholders, driving end-to-end ML projects, mentoring team members, and ensuring engineering quality.
As a Senior Analyst in Marketing Science & Analytics, you will enhance decision-making by improving marketing measurement systems and monitoring acquisition health. You'll collaborate with various teams to develop and maintain key performance indicators, analyze marketing experiments, and enhance data visualization dashboards while addressing stakeholders' analytics needs.
As a Senior Data Engineer, you will build and maintain data infrastructure to support Square's growth. You will design and implement data pipelines, work with various teams to integrate new data sources, and ensure accuracy in reporting. Your role will involve participating in on-call duties and improving data quality and efficiency.
The Senior Data Analyst will drive data-informed decision-making by overseeing dashboards, ensuring data quality, and maintaining key metrics. Responsibilities include collaborating with product managers and engineers, evaluating marketing activities, and developing databases and dashboards to analyze data effectively.
The Senior Data Scientist at Square's SAM Data Science team will leverage advanced data science techniques to improve revenue generation, develop predictive models, and drive data-driven decisions within the organization. Responsibilities include understanding data ecosystems, supporting revenue forecasting models, partnering with ML engineers, applying analytics, and mentoring team members.
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