Top Data & Analytics Jobs in San Francisco, CA
As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.
As a Senior Data Scientist at Entefy, you will utilize your expertise in data science to drive productivity through advanced analytics. The role requires leading data projects, extracting insights from complex datasets, and demonstrating proficiency in various programming languages.
As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.
The Treasury Quantitative Expert leads the development and execution of quantitative models for managing credit risk, interest rate risk, and liquidity. This role involves preparing and analyzing large datasets, implementing models in production, ensuring regulatory compliance, and mentoring less experienced analysts.
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As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.
The Principal Sampling Statistician will design and execute sampling and weighting plans for surveys, apply statistical principles for data analysis, prepare reports and presentations, and advise on statistical methods related to sampling. They will also advance the organization's reputation through conferences and client consultation on statistical issues.
The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
As a Data Annotator, you will label, curate, and review data to train and evaluate AI models. Responsibilities include annotating multimodal data, generating questions, and ensuring quality control of your work. This remote role offers flexible hours and the potential to influence AI advancements through precise data handling.
The Senior Oracle Functional Analyst will interface with the business to implement, configure, and support Supply Chain Management applications through functional analysis and Oracle cloud configuration. Responsibilities include managing business analysis processes, defining functional requirements, and collaborating across IT and business units to ensure effective project execution and solution design.
The Lead Data Scientist will drive the delivery of AI/ML solutions in the retail sector. Responsibilities include leading teams, managing data science projects, utilizing algorithms for customer segmentation, forecasting, and optimizing marketing strategies. The role requires collaboration with stakeholders and a strong understanding of end-to-end data science processes.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
As a Field Application Scientist, you will support sales and customers with technical expertise on products related to proteomics. Responsibilities include conducting demos, managing technical support, collaborating with internal teams, and ensuring instrument utilization. The role requires excellent communication skills and a background in life sciences.
The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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