Top Data & Analytics Jobs in San Francisco, CA
As a Data Scientist, you will lead research projects from ideation to implementation, applying mathematical and technical concepts to solve problems in finance, gaming, and blockchain. Collaborating across teams, you will design data models, ensure data integrity, and develop advanced algorithms while documenting processes and results for knowledge sharing.
The Director of Consumer Insights & Data Analytics will lead efforts to understand consumer behavior, drive marketing activities through data insights, and develop tools and frameworks to optimize the customer purchase journey and enhance overall business strategies.
As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.
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The Analyst II, Credit Risk position at Affirm involves utilizing data analytics to develop credit strategies and manage business risk. Responsibilities include collaboration with various teams to design new products, optimize purchasing power, and enhance credit underwriting processes through data insights and experimentation.
As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.
As the Lead Data Analyst, you'll collaborate with various teams to analyze data, uncover trends, automate reporting, and provide actionable insights to drive business growth for small businesses. You'll be responsible for enhancing data collection practices and effectively communicating insights to non-technical stakeholders.
The Data Analytics Engineer will support reporting and analytics by exploring data, ensuring quality models, collaborating with teams, and maintaining the data warehouse. Responsibilities include developing documentation and enhancing business outcomes through data-driven insights.
As a Principal Database Engineer, you will design and develop core modules for a data integration and analytics cloud platform, work with the engineering team on web applications, ensure compliance with quality standards, and provide technical guidance and support to other engineers.
The Outcomes Research Data Scientist will analyze Tempus data for real-world evidence (RWE) studies, interpret results, communicate findings, collaborate with various teams to enhance data quality, and ensure compliance with regulations. Candidates should possess experience in oncology, biostatistics, and handling observational healthcare data.
As a Business Intelligence Manager at Alma, you will drive efficiency by analyzing data to support decision-making and partnerships. You will create interactive reports and dashboards, identify opportunities for efficiency, and collaborate with the Data Engineering team to enhance data capabilities.
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