Top Remote Data & Analytics Jobs
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
The Data Engineer III is responsible for constructing high-quality datasets, writing SQL queries, monitoring database stability, and assisting with data governance. They lead and mentor a team, architect data management systems, and create data pipelines on AWS. They also work independently to solve complex problems and collaborate with stakeholders to develop reliable solutions.
The GRC Analyst will be responsible for implementing and maintaining the Information Security Management System (ISMS), ensuring compliance with security standards like ISO 27001 and GDPR, leading audits, managing information security policies, and coordinating responses for vendor security assessments.
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The Data Entry Operator is responsible for maintaining detailed records, reviewing work for accuracy, and entering data into spreadsheets and databases. This role requires strong attention to detail, proficiency in Microsoft Office, and the ability to multitask effectively while ensuring confidentiality with sensitive information.
The Revenue Operations Analyst will manage day-to-day CRM operations and support the sales and customer success teams. Responsibilities include ensuring smooth sales-to-customer success handoffs, maintaining data accuracy, managing operational support tickets, contributing to sales projects, collaborating on customer success initiatives, and optimizing processes through documentation and team training.
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on data needs for AI/ML models. Responsibilities include setting data infrastructure strategy, implementing data transformation processes, ensuring data quality, building data structures, and collaborating with cross-functional teams.
The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.
The Principal Data Engineer at Hypergiant will develop and improve a data service for cloud-based applications, support data modeling, collaborate throughout the software development lifecycle, ensure high-quality code and data reliability, and lead technical initiatives while fostering a culture of continuous improvement.
The Service Desk Analyst at Cyber Advisors will field incoming requests from clients, resolving common Tier 1-level issues and routing complex issues to the appropriate teams. Responsibilities include documenting requests, applying diagnostic utilities, and providing basic network support, as well as enhancing technical skills and client experience through engagement and training.
As a Project Analyst in M&A/Technical Diligence, you will support project management functions, maintain tools, track action items, and facilitate document management. You will collaborate with senior team members, provide feedback on software platform design, and help establish standards for project quality and speed in renewable energy development.
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