Top Entry Level Data Science Jobs in Philadelphia, PA

As a Research Scientist at Waabi, you will lead and contribute to AI research projects, focusing on developing algorithms for self-driving technology and their implementation in production systems. Your work will encompass problem-solving across various areas, including perception, motion forecasting, and generative modeling, while also ensuring code quality and publishing findings at top conferences.

The role involves developing algorithms and applications for analyzing reliability data, performing statistical analysis, and utilizing machine learning to predict product reliability. Additional responsibilities include building data-driven applications, organizing insights from data, and ensuring model scalability across solutions.

The Data Scientist 2 role at Comcast involves optimizing the performance of syndicated products, engaging with global telecommunications providers, and ensuring operational excellence across the product portfolio. It requires collaboration within a motivated team focused on enhancing customer experiences in digital media and connectivity.

The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.

As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.

As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.