Top Data Science Jobs in San Francisco, CA
The Scientist in Quality Systems enhances ProBio’s quality systems by ensuring compliance with GMP regulations for clinical and commercial Cell and Gene Therapy products. Responsibilities include quality assurance reviews, supporting investigations and CAPA processes, and collaborating with internal teams to improve GxP compliance.
As a Senior Data Scientist, you will collaborate with product teams to generate insights that enhance growth and engagement. Responsibilities include building dashboards, delivering analyses, designing experiments, and communicating findings to drive product improvements and customer experience.
The facilitator of Data Science at Flatiron School will guide a small class of learners through online coursework, provide feedback on projects, and lead discussions connecting curriculum to real-world applications. They will foster a collaborative learning environment, assessing and guiding students while exemplifying the school's values.
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
The Soil Scientist will advise clients on carbon removal strategies, conduct due diligence on soil carbon projects, and contribute to science and policy efforts to mitigate climate change through soil management. This role requires a passion for carbon management and flexibility to implement strategies and deliver results.
The Research Scientist leads mixed-methods research to enhance student outcomes by integrating qualitative and quantitative methodologies. Responsibilities include designing studies, analyzing data, supervising analysts, and mentoring team members. The role involves collaboration with educational stakeholders and staying current with advancements in research.
As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.
The Salesforce Administrator will ensure the accuracy and organization of Salesforce data, perform audits, implement data validation, and create reports and dashboards to support business insights and decision-making.
The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
