Top Data & Analytics Jobs
The Data Science Manager at DMG leads the development of analytical frameworks and decision support tools to enhance understanding of content performance. Responsibilities include building statistical models, analyzing data trends, partnering with technology teams, and mentoring junior members. The focus is on leveraging advanced analytics to inform business strategies and improve overall performance.
The Sr Machine Learning Engineer will develop and maintain algorithms for Hulu's recommendation system, using advanced machine learning methods. Responsibilities include feature engineering, optimizing data pipelines, and collaborating with product and data teams to enhance personalization and analysis processes.
The Sr. Data Engineer will join the Data Activation team to ensure high-quality delivery of data solutions. Responsibilities include designing data models, developing ETL processes, utilizing big data technologies like Spark and Snowflake, and automating tasks. The engineer will engage with stakeholders, conduct code reviews, and support the go-live process while fixing bugs and addressing issues post-launch.
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.
As a Lead Machine Learning Engineer, you will innovate and implement AI and machine learning to enhance advertising processes, focusing on inventory forecasting, pricing, targeting, and ad delivery. You'll lead the architecture design of ad algorithms, develop scalable data analysis approaches, and mentor team members.
The Senior Machine Learning Engineer will innovate and enhance advertising solutions using AI and machine learning, focusing on ad inventory forecasting, pricing, and targeted advertising. This role involves algorithm architecture, scalable data analysis, and collaboration with various teams to optimize advertising processes.
The Lead Machine Learning Engineer will develop innovative AI and machine learning solutions for Disney's advertising platform, driving improvements in ad inventory forecasting, experience, pacing, pricing, targeting, and delivery. The role involves designing ad algorithms, conducting scalable data analysis, and collaborating across teams while mentoring junior members.
As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.
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.
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