Top Data & Analytics Jobs in San Francisco, CA
The Scientist II/Senior Scientist will oversee AAV purification processes, managing both internal and external CDMO operations. Responsibilities include optimizing large-scale purification techniques, mentoring junior staff, conducting process characterization, and ensuring compliance with regulatory standards. The role requires strategic thinking and problem-solving to enhance process development.
Zilliz, a fast-growing startup, focuses on developing vector database technology for AI applications. They are appealing to candidates to join their mission of simplifying data management and democratizing AI. They encourage applicants to connect even when no specific positions are available.
As a Software Engineer, Data, you will build core data infrastructure for acquiring, preprocessing, cleaning, and labeling multimodal datasets for model training, enhancing the quality of the models. You'll be leading teams, managing projects, and working closely with data vendors to improve video understanding systems.
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The Senior Data Engineer will design, develop, and maintain complex ETL pipelines using SQL and PySpark, focusing on processing time-series data and ensuring data quality. The role involves collaborating with product stakeholders and contributing to the production of data products.
Looking for a Data Engineer to influence the architecture and tools that power data analytics and reporting capabilities. Responsibilities include owning data workflows, ensuring data quality, developing data models, and establishing data engineering best practices. Requires 5+ years of hands-on data engineering experience in a SaaS environment with expertise in SQL, dbt, Python, and cloud services like AWS or GCP.
The Senior Scientist in Drug Product Process Science will lead formulation development, fill/finish processes, and cryopreservation for clinical-scale manufacturing. Responsibilities include study design, technology transfer, troubleshooting, documentation, and regulatory filings support, collaborating with cross-functional teams to ensure effective drug product processes and commercialization.
Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.
The Senior Data Engineer will expand and optimize data pipeline architecture, build data pipelines for the machine learning platform, and develop integration architecture for various data sources, while collaborating with cross-functional teams.
The AI Research Scientist at Tavus will lead research on generative video models, work with the Applied ML team for productionization, and stay updated on industry advancements. The ideal candidate has experience in video technology, particularly with facial animation and video processing techniques.
As a Staff Data Scientist at ClassDojo, you will leverage data to shape strategic directions and tackle product and business challenges. Your focus will include analyzing data for user insights, designing tests, and contributing to product improvements in a high-performing cross-functional team.
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