Remote Data Jobs • US

Looking to build a future where open source AI is the de facto standard? Spend some time at Mozilla.ai, working with our team of mission-driven ML and engineering experts on creating that future. We’re looking for practical, application-driven researchers to join our team for a fixed period of time. This role is best suited to a PhD student seeking an internship/project; a recent PhD graduate or an Applied Scientist working in tech companies interested in a short-term project.

This role involves developing high-quality applications by implementing testable and scalable code as an integral part of a development team. You will design, develop, and maintain robust data architectures, manage and build ELT and ETL pipelines between internal & external data stores, and leverage AWS services to build optimized solutions. Documenting data engineering processes, standards, and best practices is also required.

The Analytics Engineer will work closely with Product, Engineering and Client Experience to translate complex datasets into actionable insights and products for our clients and internal teams. The ideal candidate has a strong talent for data modeling and analytics and gets excited about working with a modern data stack to transform data into performant data pipelines.

This is a part-time role within the Brain Team, responsible for generating and improving waste imagery datasets and developing ML models. As an AI Data QC Technician, you will review and correct annotated waste characterization data to improve AI performance in mission-critical applications and new verticals. Your work will involve becoming an expert in industrial sortation and recommending improvements for data cleanup.

Help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. As an Analytics Data Scientist, leverage deep analytical skills and product intuition to solve a wide array of complex problems — from strategic analysis to dashboard creation and experimentation design and analysis.

The Data Scientist Supply Chain role will work on improving supply and demand forecasting capabilities using data pipelines, Extraction Transformation Loading (ETL) processes, and ML models. This role will also deliver excellent customer experience by working directly with clients in the Dairy and Livestock sectors. The commitment needed is 20 hours a week.

Lead and oversee complex statistical analyses, provide high-level strategic recommendations, and guide junior analysts in the execution of observational research. This leadership position combines technical expertise with client-facing responsibilities, allowing the successful candidate to influence key decisions within our client’s RWE and cross-functional teams.

We are looking for a strong Informatica Architect with Informatica's Intelligent Data Management Cloud (IDMC) and Azure Exp. Candidate needs 15+ years for experience who has helped in Designing, Architecting, Setting up security governance, define implementation approach for Informatica's Intelligent Data Management Cloud (IDMC) and MS Azure. Design and develop data integration workflows and mappings using IDMC. Implement and manage data quality and data governance policies using IDMC.

Manage the AI and Machine Learning vision, strategy, and implementation across the enterprise. Manage a team of highly skilled data scientists capable of evolving the quality and sophistication of AI/ML models and insights across the enterprise. Maintain the competitive advantage through research and development activities.

The Data Scientist ML, part time, role will work on training ML models using data pipelines, Extraction Transformation Loading (ETL) processes, and data integration. This role will also deliver excellent customer experience by working directly with clients and customers. This role would need a commitment to 20 hours a week.