Top Remote Data & Analytics Jobs in Tucson, AZ
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
As a Quantitative Researcher at Monad Labs, you will develop predictive models addressing blockchain performance and user/system behaviors. You will tackle challenging problems through creative solution development and prototype various approaches, ultimately delivering production-grade solutions and managing prediction pipelines.
The IT Analyst - SAP Logistics will develop and support SAP Logistics solutions, manage incidents, and collaborate with stakeholders to ensure compliance and timely delivery. Responsibilities include configuring SAP modules and resolving issues in a post go-live environment.
The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
This is a speculative job application for candidates who want to work at Hugging Face. The company emphasizes diversity, well-being, and continuous development, and encourages applicants to brainstorm their potential roles based on personal strengths and interests.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Senior Data Analyst at Array will leverage foundational expertise in data analysis to work closely with product and engineering teams, addressing complex business challenges, enhancing conversion rates, and improving user experience through data-driven insights.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
Top remote Companies in Tucson, AZ Hiring Data + Analytics Roles
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