Top Data & Analytics Jobs
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The Senior Database Administrator and Performance Engineer will oversee the performance, availability, and restorability of database servers for SaaS applications in AWS. Responsibilities include monitoring transactions, optimizing indexes, troubleshooting performance issues, collaborating on database design, and ensuring data durability and integrity through effective backup and recovery processes.
The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.
The Senior Analyst will oversee ETF operations focusing on trade management and complex operating issues. Responsibilities include managing relationships with vendors, enhancing operational efficiencies, ensuring regulatory compliance, and leading cross-department initiatives for improved accuracy and client experience.
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The Vice President of Data & Analytics will lead HBP's data strategy, manage a team of data professionals, and implement analytics initiatives to drive innovation and enhance customer experience. This role involves collaboration with senior leaders and various business units to align data initiatives with organizational goals.
The Principal Data Privacy Consultant will assess compliance with data privacy regulations, develop privacy policies and documentation, conduct gap and maturity assessments, and provide advisory services to clients. This role involves mentoring colleagues and contributing to the growth of the data privacy consulting practice.
The Scientist I will coordinate and execute product development and commercialization for beverages and shelf-stable products, focusing on innovation, cost optimization, and quality improvements. Responsibilities include leading trials, understanding food ingredient technologies, and collaborating with cross-functional teams to ensure product design and timeline objectives are met.
The Senior Data Engineer at Bitsight will focus on optimizing data flows, ensuring data quality, and developing scalable data pipelines. Responsibilities include collaborating with cross-functional teams, managing data architecture, and supporting data science initiatives with high-quality engineering solutions.
The Lead Data Scientist will leverage innovative data analytics and machine learning techniques to extract insights from data, developing predictive models and efficient data pipelines, while collaborating with stakeholders to improve decision-making and operational efficiency.
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The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.
Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
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