Top Remote Data & Analytics Jobs in San Francisco, CA
Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.
The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.
The Cloud Cost Analyst supports cloud modernization initiatives through the analysis, forecasting, and optimization of cloud expenses. Responsibilities include monitoring cloud spending, developing financial reports, identifying cost-saving opportunities, assisting in budgeting, and analyzing vendor contracts to optimize resource expenditures during migration projects.
The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.
As a Research Scientist at Waabi, you will lead AI research projects to develop algorithms for autonomous systems, work on self-driving related challenges, and deploy solutions into production while ensuring integration with platform teams. You will also publish findings at top conferences and contribute to advancing AI technologies.
The role involves labeling data, writing code, and providing feedback to enhance AI model performance. Responsibilities include annotating datasets, evaluating code, contributing to model training, and collaborating with AI professionals and data scientists.
Microblink is seeking talented individuals to join their team, focusing on innovation and bridging gaps between various entities using technology. They welcome a diverse range of experiences and encourage candidates to submit CVs and project links.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
The position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.
The Sr Analyst in Marketing Technologies will oversee the evolution of the marketing technology portfolio, ensuring reliable, customer-focused solutions. Responsibilities include designing architectures, delivering features and upgrades, and collaborating across teams. The role demands the adoption of best practices and the ability to monitor emerging trends to enhance the MarTech stack for organizational needs.
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