Top Hybrid Data & Analytics Jobs in San Francisco, CA
The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.
As a Staff Data Scientist at Aircall, you'll lead data-driven projects focusing on AI and machine learning to optimize operations and enhance business success. Your responsibilities include overseeing the entire model lifecycle, mentoring team members, collaborating with AI engineers, and communicating insights to stakeholders, all while fostering a culture of experimentation and maintaining high standards in data governance.
The Director of Data Engineering will lead the optimization and scaling of Pendulum's data infrastructure, ensuring reliable data pipelines and compliance with governance standards. They will mentor a data engineering team, drive data strategies aligned with business goals, and support AI/ML initiatives.
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As a Senior Data Scientist, you will lead the creation of statistical and machine learning models, design experiments, analyze product performance, and collaborate with various teams to enhance AI product offerings. Your insights will drive strategic decisions and improve messaging strategies based on data-driven conclusions.
The Disbursement Analyst manages disbursement processes and ensures timely, accurate payments while maintaining financial records. This role involves coordinating with various finance functions, managing accounts payable, assisting in audits, and preparing financial reports and analyses.
The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.
As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data warehouse architecture, and enable advanced analytics across the organization. You will collaborate closely with software engineers to ensure data quality, create data models, implement data governance, and develop data visualization tools, all while mentoring team members and establishing best practices.
As a Staff Data Engineer, you will drive data platform initiatives, design and optimize data architecture, and implement ETL/ELT processes for analytics and reporting, enhancing insights through machine learning and generative AI technologies.
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 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.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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