Top Remote Data & Analytics Jobs
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
The Principal Analytics Consultant will lead analytics process automation and data visualization initiatives, driving client relationships and business value through advanced analytics strategies. Responsibilities include building minimum viable products, managing projects, and guiding team members while utilizing tools such as Dataiku, Alteryx, and cloud services like AWS and Azure.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
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NewRocket is seeking passionate individuals to join their diverse team and contribute to the ServiceNow ecosystem. The role focuses on collaboration, innovation, and creating meaningful experiences for both employees and clients.
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.
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.
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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