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Top Remote Data & Analytics Jobs in Phoenix, AZ
The job involves analyzing metallic and reinforced concrete structures for SMR-300 plants, utilizing various engineering methods and software. Responsibilities include performing static and dynamic analyses, developing designs based on requirements, preparing design deliverables, and ensuring documentation meets engineering and licensing standards.
The Head of Applied AI will lead the Applied AI Research team in developing innovative AI technologies for the Descript product. Responsibilities include managing research projects, mentoring team members, collaborating on product integration, developing research strategies, and representing the company at events.
The Senior Data Engineer will transform transactional data into datasets for reporting and analytics, develop and maintain SQL for ETL and reporting, and perform database and software administration tasks while collaborating with team members and learning new tools.
The Senior Data Engineer will enhance Wizard's data collection, storage, and analysis by developing scalable data infrastructure, building ETL pipelines, and collaborating with cross-functional teams for data-driven decision making. Responsibilities also include designing backend solutions for microservices and managing third-party integrations.
As a Data Analyst at Edge & Node, you'll translate business requests into actionable insights, manage data transformations, build dashboards, and collaborate with cross-functional teams to improve analytics workflows and deliver accurate data.
As Privacy, AI and Data Protection Counsel, you will work closely with the Global Privacy Officer to manage privacy, data protection, and AI compliance programs. Responsibilities include providing compliance guidance, reviewing agreements, advising on privacy-related issues, and staying updated on global regulations.
As an Applied Data Scientist, you will develop data processing strategies, extract and format data, conduct exploratory analyses, and create interactive scientific applications using R shiny. You will collaborate with scientific teams and contribute to advanced research to enhance biomedical decision-making.
The Data Engineer will support analytics initiatives by developing and maintaining data pipelines, interacting with engineering teams in China, and ensuring data quality. Responsibilities include building scalable data warehouses, optimizing existing pipelines, and collaborating with leadership and stakeholders on data needs.
The Sr. Credit Risk Analyst will develop and optimize credit strategies using advanced analytics, machine learning, and statistical models to manage and reduce credit risk. Responsibilities include designing A/B tests, conducting loss forecasting, collaborating with various teams, analyzing portfolio performance, and ensuring compliance with regulations.
The Lead Data Analyst/Scientist will analyze large datasets, create visualizations, collaborate with teams, build predictive models, and craft narratives from data to drive strategic decisions in a SaaS company supporting senior living communities.
Top Remote Companies in Phoenix, AZ Hiring Data + Analytics Roles
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