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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.
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.
The Logistics Analyst will manage logistics functions to ensure efficient product flow, optimize costs, and maintain high customer service levels. Responsibilities include managing logistics operations, supplier and client relationships, data integrity validation, and logistics projects to improve service and performance.
The Lead Data Analyst will analyze subscriber churn for Disney's streaming services, create dashboards using Tableau and Looker, and communicate insights to stakeholders. This role requires collaboration with various teams to drive business strategy based on data analysis. They will also convert business questions into SQL for deeper analysis and partner with Data Science teams for advanced modeling.
The Sr Data Engineer role at Disney involves building and maintaining the Audience Manager Platform, ensuring scalable data processing pipelines, and collaborating with various teams to enhance product-driven initiatives. The engineer will participate in Agile methodologies, provide on-call support, and generate reports while driving innovative data solutions.
The Principal Data Engineer will lead the development of high-performance data platforms, collaborate with engineers and business partners, and enhance customer profiling through the Audience Manager Platform at Disney. Responsibilities include driving architecture discussions, delivering scalable systems, and ensuring effective team communication across distributed teams.
The Senior Data Engineer will design and develop batch and streaming data jobs, collaborate with ML engineers to automate data pipelines, and create tools to support event-driven architecture. The role requires working in an Agile environment and managing the lifecycle of data pipelines to support machine learning initiatives.
The Lead Data Scientist will apply advanced machine learning and statistical analysis to develop models for user retention and content optimization. Responsibilities include deep analysis of user data, development of visual insights, and close partnership with business stakeholders to unlock data opportunities.
The Lead Machine Learning Engineer will focus on developing and optimizing algorithms for Hulu's recommendation and personalization systems. Responsibilities include collaborating with product and data teams, maintaining existing models, and establishing best practices in algorithm development and deployment.
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