Top Remote Data & Analytics Jobs in Columbus, OH

The Senior Systems Analyst will optimize Vital Farms' Record to Report functions by planning, designing, implementing, and supporting related systems. Responsibilities include defining requirements, application configuration, user training, and enhancing business processes in collaboration with stakeholders.

As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.

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.

As a Staff/Senior Staff Data Engineer at Valo Health, you will lead the development of complex data transformation initiatives, integrating real-world data into analysis-ready products, while collaborating with scientists and engineers. Responsibilities include building data pipelines, maintaining data quality, and providing technical leadership within the data engineering team.

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

As a Senior Data Scientist in Computational Biology, you will integrate and analyze omics data, ensure data quality through bioinformatics pipelines, conduct biological analyses to support drug discovery, and communicate results effectively across various teams. You will contribute to target identification and validation, collaborating with multi-disciplinary experts in the field.

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.

As a Data Scientist on the Growth team at Wave, you will design, run, and analyze experiments to enhance product features and customer experiences. The role involves working closely with operations and product teams to generate insights from data, applying statistical modeling and machine learning, and communicating findings to stakeholders.

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.