5 jobs found

Stanford University is seeking a Research Data Analyst 1 to manage and analyze large amounts of healthcare data for machine learning applications in the department of biomedical data science.  Duties include: Collect, manage and clean datasets. Employ existing tools to interpret, analyze, and visualize multivariate relationships in data. Develop machine learning models Create databases and reports, and perform basic statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with research staff on data collection and analysis methods. Contribute to...

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress.   As a  data engineering lead  within the Personal Lines Media Data Operations team, you’ll play a pivotal role in empowering data scientists, analysts, and business stakeholders with cutting-edge tools, technologies, infrastructure, and data solutions. This team is responsible for enabling data-driven decision-making by optimizing advertising campaigns, deploying predictive analytics, and maintaining robust data systems. In this role, you’ll design and implement real-time APIs, scalable data pipelines, and cloud-based infrastructure to support machine learning model deployment and advanced analytics, while also growing your expertise in cloud infrastructure, generative AI, machine learning, and data engineering. As a lead, you’ll take ownership of projects...

In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications and lead the development of AI-driven applications, including conversational interfaces, chatbots, text summarizers, and recommendation engines, tailored to the needs of our community. Partnering with Product Managers, Machine Learning Engineers, Data Scientists, and Cloud Platform Engineers, you will build production-ready AI solutions that drive personalized engagement, expand educational reach, and support new learning models. Your contributions will reinforce HBS’s leadership in education and business by shaping the future of AI-driven learning experiences. Responsibilities Include: Design and develop the architecture and infrastructure for GenAI products, including search interfaces, chatbots, and text summarizers, ensuring optimized performance that meets specific product goals. Collaborate closely with product management and engineering leads to...

Harvard Business School will not offer visa sponsorship for this opportunity. We are seeking a talented Generative AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users. As a Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge. AI Tool Development and Implementation Design and implement efficient data pipelines for data collection, cleaning, labeling, and...

Cornell Engineering is the largest and most prestigious engineering program in the Ivy League. The college is widely recognized for its rigor, commitment to excellence in education and research, and its longstanding legacy of educating students who go on to become leaders. Cornell Bowers CIS is home to the three academic departments that power the information economy: Computer Science, Information Science and Statistics and Data Science. The Department of Computer Science is consistently ranked among the best computer science departments in the U.S. Information Science examines information systems in their social, cultural, economic, historical, legal, and political contexts. Studying technology and the ways in which technology is used is essential to the field. Cornell Information Science examines information systems in their social, cultural, economic, historical, legal, and political contexts. Studying technology and the ways in which technology is used is essential...