Top Remote Data & Analytics Jobs
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.
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
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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.
As a Staff Data Engineer, you'll design and deploy enhancements to data infrastructure, automate workflows, develop ETL processes, and monitor data systems. You'll leverage various technologies to ensure efficient data handling within a scalable environment that addresses complex challenges.
As a Lead Data Scientist, you will identify opportunities for applying data science and machine learning techniques to enhance marketing, products, and processes. Collaborating with various teams, you'll drive projects related to marketing optimization and customer data analysis, while mentoring the data science team.
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.
The Senior Software Engineer, Big Data, is responsible for building data processing and exploration pipelines, developing ML infrastructure, and taking part in the full life cycle of applications at scale. The role requires a strong understanding of big data technologies and involves collaborating across functional teams to create effective data-driven applications.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
As a Data Scientist at Jun Group, you will collaborate with various teams to identify key metrics, enhance data collection for analytical models, and apply quantitative methods to optimize ad campaign performance. Your role involves processing data, supporting machine learning design, and creating visualizations and reports.
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