Top Remote Data & Analytics Jobs

As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.

As an Analyst at Anser Advisory, you will document construction processes, provide guidance on industry best practices, identify inefficiencies, and collaborate with clients on cost-saving opportunities. Your role will include developing reports and presentations to communicate findings and recommendations effectively, contributing to project success.

The Commercial Contracts Analyst at Cepheid will provide pricing and deal structure support, draft and negotiate various commercial contracts, and collaborate with sales and other departments. Responsibilities include handling moderately complex contracting problems and contributing to various initiatives.

The Insights Analyst, Lead Analyst, Enterprise Data & Analytics is responsible for developing data visualizations and self-service analytics solutions in support of the global EDNA platform. They work closely with stakeholders to understand data rules, business logic, and reporting needs to develop dashboards and self-service analytics layers.

The Data Analyst will manage program data collection, ensuring quality assurance, and conduct statistical analyses. Responsibilities include creating reports for stakeholders, enhancing data processes, and supporting the Director of Operations with insights related to KPIs. The role requires attention to detail and effective communication to present findings clearly.

As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.

The Sr. Data Analyst will analyze large-scale data sets to identify trends and performance metrics, develop enterprise-wide data analysis and reporting solutions, provide analytical support across departments, ensure data quality, and assist in software development and sales processes.