Top Data & Analytics Jobs
As a Manager in the Machine Learning team, you will lead planning and coordination within sprints, build and maintain a machine learning platform, manage data pipelines, troubleshoot technical issues, and mentor team members.
The Lead Data Scientist will drive innovation in advertising by applying data science and statistical analysis. Responsibilities include developing models, defining key metrics, delivering insights, analyzing A/B tests, and mentoring team members within a collaborative environment.
The Lead Software Engineer will develop and enhance Disney's advertising machine learning platform, focusing on improving inventory forecasting, ad delivery, pricing, and targeting using AI. This role involves creating scalable solutions for data analysis and modeling while collaborating with researchers and balancing architectural considerations.
The Senior Software Engineer will build a next-gen machine learning platform for advertising decisioning, develop scalable data analysis methods, collaborate with researchers, and advocate for best engineering practices.
Lead the Model Engineering team to develop state-of-the-art ML runtime environments, ensuring high availability and low latency for ML model deployment. Collaborate with product stakeholders to create innovative scalable platform solutions while mentoring team members and fostering a culture of inclusion and collaboration.
Lead the development and optimization of algorithms for personalization and recommendation systems at Disney, driving and enabling ML usage across multiple domains. Collaborate with stakeholders to identify new opportunities while maintaining robust production deployment and high system reliability.
The Lead Data Engineer will enhance the reliability of Disney's big data platform, collaborating with teams to improve data pipelines and monitoring systems, leading projects, mentoring junior engineers, and developing solutions for incident observability and automation.
The Senior Business Operations Analyst will manage daily operations, enforce data compliance, provide reporting assistance, support process refinement, and educate personnel. They will collaborate with various stakeholders to enhance the adoption of Service and Application Portfolio products and improve service delivery processes.
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimize services, manage project milestones, communicate progress to stakeholders, and uphold best practices within the team while collaborating with engineers and product managers.
The role involves developing and improving feature store tooling and services, building streaming data ecosystems, working on event-driven ML pipelines, and collaborating with diverse teams to foster innovation and quality. Responsibilities include overseeing large-scale, real-time distributed systems and contributing to ML infrastructure development.
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