Top Remote Data & Analytics Jobs
As a Staff Data Engineer, you will implement enterprise data strategies, create scalable data solutions, and design efficient data pipelines. You will optimize data quality, ensure governance, collaborate with cybersecurity and architecture teams, and advance AI and ML capabilities while mentoring data engineering teams.
The Teaching Assistant will support data analytics learning programs by conducting live lectures, providing individual office hours, grading submissions, and facilitating review sessions. They will work asynchronously and engage in regular meetings to discuss progress. Strong communication and technical skills in data analysis tools are essential for this role.
Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.
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The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.
The role involves supporting the Navy's transition to the Electronic Procurement System (ePS) by managing data analytics, deployment readiness, training, and reporting. The Analyst must aggregate data from various acquisition systems, develop insightful visualizations, and work collaboratively to enhance decision-making for better ePS implementation.
The Treasury Analyst, Capital Strategy will manage credit facilities and the investment portfolio, work on capital market transactions, monitor investments, and cover cash management processes. Responsibilities include preparing reports, conducting analysis, and maintaining relationships with financial counterparties.
The Manager of Marketing Technology and Data Operations oversees the marketing technology stack at Berklee College of Music, managing platforms like Salesforce Marketing Cloud, optimizing data capture, and ensuring effective marketing campaign execution. This role involves collaboration with stakeholders to enhance workflows, improve customer engagement, and support data-driven decision-making.
As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.
The Senior Scientist will lead collaborations with biomedical partners to develop and implement pharmacometric strategies. Responsibilities include creating population PK/PD models, performing Monte-Carlo simulations, and producing technical reports, contributing to the advancement of drug development through data-driven decision making.
The Senior Data Analyst will leverage quantitative data analysis across multiple sources to provide insights for business leaders, develop executive dashboards, and collaborate with engineering on data solutions, driving metrics to inform strategies in areas such as Marketing and Sales.
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