Top Data & Analytics Jobs

As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.

As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.

The Principal Research Scientist will lead the GMC membrane R&D team, developing innovative porous metal membranes for gas filtration in the semiconductor industry. Key responsibilities include project leadership, utilizing powder metallurgy and additive manufacturing techniques, and creating comprehensive technical reports and documentation based on experimental results.

The Senior Data Engineer at Equifax will handle complex data management tasks, including the creation of data pipelines and integration of diverse data sources. Responsibilities include ensuring data quality, mentoring junior engineers, and utilizing cloud platforms for implementing data solutions. This role requires both engineering and statistical skills to drive insights from data.

The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.

The Senior Data Engineer will lead the design and development of high-performance data architectures for batch and streaming processing, manage ETL/ELT processes, optimize database systems, drive continuous improvement in data workflows, and collaborate with teams to support data-driven decision-making.

The Lead Data Scientist will drive the delivery of AI/ML solutions in the retail sector. Responsibilities include leading teams, managing data science projects, utilizing algorithms for customer segmentation, forecasting, and optimizing marketing strategies. The role requires collaboration with stakeholders and a strong understanding of end-to-end data science processes.