Top Remote Data & Analytics Jobs
The Data Architect leads data initiatives by optimizing data architecture, pipelines, and flow. Responsibilities include developing data strategies, managing end-to-end data architecture, enhancing data accessibility and security, and building analytics tools for performance insights.
As the Manager of Data Exchange Support, you'll lead efforts to enhance data exchange operations with a 24/7 support model. Responsibilities include managing KPIs, improving observability through automation, handling root cause analyses, collaborating with cross-functional teams, and ensuring excellent customer service. You'll also manage a team of specialists and oversee disaster recovery planning.
As an Associate Formulary Analyst at Abarca, you will configure and implement formularies for various clients, perform testing and quality assurance, collaborate with other business units, ensure compliance with regulations, and track requests. Your role involves addressing adjudication issues and enhancing processes within the healthcare pharmacy sector.
The Investigative Research Associate at Fama will execute Press Check reports by researching news and litigation content, analyzing data, and summarizing findings in written reports. The role requires collaboration with a research team, effective communication, and strong organizational skills, along with the ability to work in a fast-paced environment.
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The Senior Data Engineer develops and manages data pipelines, ELT processes, and data storage solutions to ensure data quality and availability. They collaborate with teams to leverage data effectively for business outcomes and contribute to architectural and design decisions, mentoring junior team members while working on complex systems independently.
The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.
The Machine Learning Research Scientist will develop and research state-of-the-art NLP models to enhance market research. The role involves predictive modeling, algorithm development for large-scale applications, and effective communication of technical concepts to non-technical stakeholders.
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
As a Data Engineer at Coinbase, you will build and maintain data solutions, design robust data pipelines, ensure data quality, and develop automation tools to enhance data science processes and empower user access to accurate data.
As a Data Scientist at Coinbase, you will analyze products to provide strategic recommendations, design experiments to assess impact, and maintain key metrics. Collaboration with Product, Engineering, and Design teams is essential to influence product direction and enhance data insights.
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
The Security Data Architect will discover, design, and implement techniques to consume and analyze data from multiple sources to enhance Halcyon's anti-ransomware solution. Responsibilities include data cleaning, correlation, modeling, reporting, and suggesting improvements for data collection and storage effectiveness.
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