Top Remote Data & Analytics Jobs

As the first Data Analyst for Starknet Foundation, you will lead reporting and analytics efforts across diverse areas, manipulate data using SQL and Python, and provide insights to enhance decision-making for ecosystem growth, marketing, and business operations.

The Teaching Assistant will support data analytics learning programs by conducting live lectures, providing individual office hours, grading submissions, and facilitating review sessions. They will work asynchronously and engage in regular meetings to discuss progress. Strong communication and technical skills in data analysis tools are essential for this role.

Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.

The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.

The Senior Data Scientist will model complex enterprise problems, utilizing machine learning and statistical techniques to optimize inventory and assortment strategies. The role includes developing and deploying machine learning models on Google Cloud Platform, mentoring junior team members, and collaborating with cross-functional teams to improve data-driven decision-making.

The Data Engineer II will develop and maintain data pipelines, implement ELT processes, and ensure data quality. The role involves collaboration with various teams to design data products and optimize queries for performance while modernizing the data pipeline platform.

The role involves supporting the Navy's transition to the Electronic Procurement System (ePS) by managing data analytics, deployment readiness, training, and reporting. The Analyst must aggregate data from various acquisition systems, develop insightful visualizations, and work collaboratively to enhance decision-making for better ePS implementation.