Top Remote Analytics Jobs

Join a team that is building a search engine aimed at simplifying access to information generated by sensing technologies like satellites and drones. The company focuses on developing cutting-edge technologies in data indexing and search, inviting applicants for general roles to help change how different sectors interact with Earth data.

The Remote Sensing AI Researcher will design machine learning infrastructure, develop algorithms and deploy models for hyperspectral imagery. Responsibilities include conducting research on AI/ML applications, mentoring colleagues, and contributing to publications. Collaboration with data scientists and software teams is essential for production transitions.

The Senior Research Scientist will lead analytics efforts in market access, conducting claims-based analyses and modeling to support life sciences companies. Responsibilities include contributing to business development, structuring statistical plans, mentoring junior analysts, and developing best practices.

The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.

The Quantitative Researcher/Analyst at Kronos Research will develop trading strategies, monitor trading performance, conduct research, and create automation tools in a fully remote environment, focusing on DeFi and CeFi markets.

The Trading Operations Analyst will assist with financial transactions, perform reconciliations, prepare reports, and manage accounting tasks. The role involves collaboration with the Fund Accounting team and daily operations support for the Trading Desk, including reporting P&L estimates and processing corporate actions.

The Data Analyst will process and analyze large datasets to generate strategic insights for various company teams. They will leverage a modern data stack to identify trends, work with cross-functional teams to define KPIs, create data visualizations, and mentor team members in both technical skills and process improvements.