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9,889 jobs found
27.10.2025
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Ebay Senior MTS Software Eng. Data Platform United States, Texas, Austin
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform...
Research, design and implement novel embodied and agentic AI methods. Publish original research. Collaborate with other team members and teams on mission-driven research. Mentor interns. Speak at conferences and events....
Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers. Track the fast paced world of AI and...
In this role, you will research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications. Work directly with other technical experts in their fields (industry and...
Lead the end-to-end design, analysis, and optimization of heat-rejection and cooling systems, including chillers, cooling towers, dry coolers, thermal storage, pumps, hydronic loops, and air/liquid-cooling components such as fan walls,...
Contribute to developing a single source of truth data repository for revenue analytics to be used across the company, driving consistency and accuracy in reporting and decision-making across all business...
Design, build, and evolve backend services, libraries, and frameworks that form the foundation of Unity's data platform. Define and own APIs and developer facing tools that improve how teams ingest,...
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform...
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.