Top Remote Data & Analytics Jobs
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.
Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.
The Data Engineer will design, develop, and maintain data infrastructure and systems for efficient data processing, storage, and analysis. Responsibilities include creating scalable data architectures, implementing ETL processes, and ensuring data alignment with business needs.
As a Data Engineer at Edge & Node, you will enhance Graph Node's capabilities, work with complex Rust code, assess performance, and document important aspects of the software while collaborating with a team on improving data processing and querying engines.
The AWS Data Architect will develop and manage data pipelines, ensuring data quality, define data models, collaborate with business analysts, and implement data governance principles. Additionally, they will enable data-driven decision-making through expert guidance on data consumption and work on continuous integration processes for data pipelines.
As a Professional Services Analyst, you will execute research projects, build narratives with data, provide strategic guidance to clients, and present findings to stakeholders. You will need a strong understanding of consumer insights and experience in data analysis, alongside the ability to create engaging data visualizations.
The Financial Systems and Data Analytics Lead will design, implement, and maintain systems for financial data analytics and process automation, collaborating with cross-functional teams to automate accounting entries, support month-end close, and create financial reports, while also engaging in data management and ad-hoc analytics projects.
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