Top Analytics Jobs in San Francisco, CA
The Campaign Analyst at Appier is responsible for executing and maintaining ad campaigns using proprietary software, managing multinational advertising strategies, analyzing campaign data for optimization, collaborating with various teams for performance improvement, and assisting in business development through data-driven insights.
As a Decision Scientist in the Risk department, you'll analyze credit risk exposure, develop machine learning models, and collaborate with various teams to improve risk metrics and credit strategies. Your responsibilities will include monitoring risk indicators and making data-informed decisions with a focus on balancing growth and minimized risk.
As a Data Analyst at Kargo, you will perform quantitative analysis using techniques like clustering and regression, communicate results to various teams, and partner with Product, Operations, and Engineering teams to identify trends and provide user behavior analytics to guide product decisions.
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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.
As a Senior Data Scientist, you will work with data scientists and analysts to generate insights from spatial-temporal data, collaborate with product managers to understand customer needs, and create data-driven solutions. You will drive process improvements, own projects, and present insights compellingly to stakeholders.
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 Developer Architecture Analyst role at Imply involves gathering insights from Apache Druid users, maintaining qualification criteria for real-time analytics databases, deploying and evaluating technologies, and shaping marketing content. You'll also influence product roadmaps based on data collected and provide educational materials for developers.
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