Top Data & Analytics Jobs

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 Data Analyst will improve and measure the performance of Disney's streaming services by converting stakeholder queries into structured data analyses, providing actionable insights, collaborating with engineers, and designing A/B tests.

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.

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.