Top Hybrid Data & Analytics Jobs in San Francisco, CA
As a Data Analyst at Bitwise, you will design and optimize data architecture, ensuring accurate and efficient data handling. Your responsibilities include creating data pipelines, validating data integrity, and delivering insights from crypto market metrics. You will collaborate with analysts to enhance research quality and contribute to strategic product development.
The Senior Data Scientist will work on the AI Research Team, focusing on optimizing the Kiddom platform and personalizing educational experiences using data, AI methods, and collaborating with various stakeholders to achieve business goals and improve student outcomes.
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The Data Scientist II role focuses on analyzing data to enhance Tinder's recommendation algorithms and improve user engagement. Responsibilities include A/B testing, designing experiments, building forecasting models, and reporting insights to influence strategic decisions across product, marketing, and engineering teams.
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The Senior Analyst will enhance Finance & Risk Analytics at Reddit by partnering with Finance teams for strategic decision-making through data analysis and reporting. Responsibilities include developing reporting solutions, analyzing financial data for trends, building scalable analytical tools, and translating insights into actionable recommendations.
As an Analytics Engineer at Airbyte, you will build and maintain data pipelines, optimize data models, and provide insights through analysis and reporting. You will collaborate with product teams, ensuring data efficacy to drive product improvements and strategic decisions.
Design and build data pipelines to support machine learning systems, develop ETL processes, maintain high-quality data pipelines, design data models, collaborate with stakeholders, and ensure data compliance with regulations.
As a Lead Data Scientist, you will develop statistical methods for data products, mentor other data scientists, and collaborate with engineers to scale solutions. You will also work on building experimentation tools and enhancing user-facing features while ensuring high standards in statistical practices.
The Insights Analyst is responsible for analyzing data to provide actionable business insights, building reports and dashboards for sales teams, streamlining data usage through pipelines, and investigating performance trends. This role requires strong analytical skills and collaboration with cross-functional teams.
The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.
The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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