Top Data & Analytics Jobs

The Senior Scientist will work on developing and deploying large analytic datasets and machine learning models to drive data-driven decision-making. They will collaborate with diverse technical teams to create analytical pipelines, user interfaces, and data visualization solutions for internal business functions at GM.

The Staff Data Scientist will focus on advanced marketing analytics, developing audience targeting methods to improve precision in identifying customer segments. Responsibilities include leading model creation, enhancing data integration, and optimizing marketing strategies by applying complex data-driven techniques, collaborating with technical teams, and ensuring effective communication of insights across stakeholder levels.

Collaborate globally and cross-functionally to understand business processes, innovate, deliver solutions, contribute to global transformation projects, and optimize system states. Facilitate workshops, influence change, implement data standards, and provide support for various functions. Develop test plans, test cases, maintain validation evidence, create user stories, and present training materials. Develop reporting tools and dashboards to enhance customer experience.

Seeking a Principal Data Engineer with 10+ years of experience in advanced diagnostics and prognostics products. Responsibilities include guiding research, design, deployment, and launch of prognostics solutions, collaborating with cross-functional teams, and driving innovation in prognostics methodologies.

The AI/ML Scientist Manager will lead the deployment of AI solutions, ensuring best practices in model operationalization. Responsibilities include framework development, collaborative implementation with Data Scientists, team leadership of ML engineers, managing ML operations with ML Flow, and overseeing CI/CD pipelines.

The role involves leading and mentoring a team of ML engineers, developing frameworks for AI model deployment, assuring code quality through CI/CD processes, and collaborating with various stakeholders to transition AI PoCs into production applications. A strong emphasis is placed on operationalizing AI models and maintaining best practices in machine learning operations.

The Staff Data Scientist will lead marketing analytics efforts, developing advanced models to optimize audience targeting and improve marketing strategies. They will work with diverse teams to implement data-driven solutions, analyze complex business problems, and enhance customer engagement through effective data storytelling.