Top Entry Level Data Science Jobs in St. Louis, MO

As a Solutions Analytics Data Scientist, you will enable partners to implement and optimize SentiLink products by analyzing data to demonstrate product value. Responsibilities include conducting evaluations, providing performance assessments, delivering insights into fraud trends, and collaborating with cross-functional teams.

The Revenue Fraud Analyst retrieves and analyzes data from USPS and Inspection Service systems to support revenue fraud investigations. Responsibilities include reviewing complaints, data mining for deficiencies and fraud, preparing detailed reports, and coordinating tasks to ensure completion for investigative projects.

Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.

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.