Top Remote Data & Analytics Jobs in St. Louis, MO

The Senior Test Analyst will design and deliver customer experience solutions, manage testing efforts based on design documents, write and execute test cases, create test data, monitor test progress, and support User Acceptance Testing while assisting clients in understanding the scope of testing.

The Cyber Threat Hunt Analyst is responsible for creating threat models, planning threat hunt missions, analyzing logs, and reporting risk analysis. This role involves collaborating with teams to enhance threat detection and security posture. Ideal candidates should have experience in network and host analysis and proficiency in scripting languages.

As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.

The Actuarial Analyst will support the rate review and loss reserving processes, analyze data to inform business decisions, ensure data quality, and assist in preparing actuarial reports and presentations. They will also conduct risk research and communicate technical findings to both technical and non-technical audiences.

As a Data Engineer, you will work on implementing data flows from client warehouses to Pathway's system, setting up CDC interfaces and designing ETL pipelines. You'll also contribute to benchmark framework design and build open-source testing frameworks for streaming data scenarios.

As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.

The Data and AI Specialist will drive data accuracy and growth at Crunchbase, focusing on LLM optimization, model performance evaluation, tool development, and data quality management while collaborating with data scientists and engineers.