8 jobs found

Reporting to the Sr. Dir Research and Learning, the  Data Scientist  will lead HFHI’s effort to address critical gaps in global housing data by launching and maintaining the annual Global Housing Index, which aims to raise awareness on key adequate housing issues and inform improved policy and program solutions. The Director will oversee the data science and quantitative research aspects necessary to ensure the Index is methodologically sound and credible. A key function is collaborating closely with internal teams, and external partners to incorporate diverse guidance and ensure the Index’s relevance and legitimacy. Ideally, the position will partner with learning and communications staff to translate complex index and quantitative research findings into accessible insights that empower Habitat teams, civil society, and policymakers to advocate for and implement evidence-based housing solutions. This position is for a term of 2 years and can be based...

Discover your future as part of the IEEE team! IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE and its members inspire a global community to innovate for a better tomorrow through highly cited publications, conferences, technology standards, and professional and educational activities. IEEE is the trusted “voice” for engineering, computing, and technology information around the globe. We have an opportunity for a senior-level Principal Engineer to have a key role in the end-to-end lifecycle of enterprise workflow automation solutions using no-code/low-code platforms. This includes initial conceptualization, detailed design, development, testing, implementation, optimization and ongoing maintenance. We’ll look to you to identify automation opportunities as well as translate business needs into efficient workflows while streamlining critical business operations to...

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...

As a Senior Data Analyst, Operations in Walmart’s Last Mile Delivery Network Operations Center, you will be the data backbone of real-time decision-making during high-impact disruptions—ranging from holidays and major events to weather and system outages. In this fast-paced role, you’ll analyze live metrics, develop dashboards and models, and deliver actionable insights that directly influence last-mile delivery execution. You'll collaborate with complex cross-functional teams to solve problems at scale and help shape how Walmart responds to dynamic operational challenges. This is a high-visibility role built for analytical thinkers who thrive under pressure. What you'll do... What You Will Do: 1. Data Analysis & Reporting: Analyze large datasets to identify performance trends, root causes, and operational insights. Generate recurring and ad-hoc reports to inform strategic decisions and daily execution. 2. Escalation & Operations Support:...

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...

The Cornell Lab of Ornithology is a globally recognized leader in technology, data management, and large-scale citizen science supporting birds and biodiversity conservation. We curate more than a petabyte of digital assets, one billion bird sightings, and leverage innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature enthusiasts, researchers, conservationists, and educators. We rely on a team of high-performance engineers to help navigate intriguing technical challenges to provide data-driven services, learning platforms, and science communications supporting biodiversity and conservation communities in all corners of the globe. This role will develop technical infrastructure and services that support numerous user-facing applications, including eBird, Merlin, Macaulay Library, Birds of the World, and BirdCast.  The Opportunity Are you a tech-savvy problem solver who loves...