7 user support analyst jobs found

The College of Agriculture and Life Sciences CALS is a pioneer of purpose-driven science and Cornell University’s second-largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: natural and human systems; food, energy, and environmental resources; and social, physical, and economic well-being. The Cornell Lab of Ornithology is the world's leading resource for conservation, research, education, and citizen science focused on birds. The Lab is a vibrant unit within Cornell's College of Agriculture and Life Sciences (CALS), where six world-class, mission-driven centers are directed by full-time faculty and other renowned professionals. Lab staff teach undergraduate courses, advise graduate students, collect and disseminate world-famous digital resources on biodiversity, and engage with partner organizations and...

The temporary Quality Milk Production Services (QMPS) data analyst will work with all QMPS staff including technicians, program aids, veterinarians, and researchers to advance data-driven decision-making across Quality Milk Production Services by developing, deploying, and maintaining analytics and AI solutions that improve milk quality, animal health outcomes, and operational efficiency. This role will integrate large, complex datasets from field, laboratory, and operational systems to generate reliable insights and scalable tools. They will work to streamline and automate data flows and work processes, reducing cycle time and improving data quality. Required Qualifications Bachelor’s degree in data science, statistics, computer science, engineering, or a related quantitative field and up to 2 years relevant experience or equivalent combination Practical experience with AI/ML and AI agents to support decision assistance, triage, and workflow execution with...

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is...

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Demonstrate subject matter expertise in advanced GPU & network systems and...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience building integrated systems throughout the entire lifecycle (e.g., analyze, design, build, test, implement, and support). 5 years of experience in full cycle SAP implementations. 5 years of experience designing and implementing finance, Enterprise Resource Planning (ERP), or supply chain systems. Preferred qualifications: Master's degree or equivalent practical experience. 10 years of experience in full cycle SAP implementations and support projects. Experience with SDLC phases, including requirements gathering, blueprinting, authoring functional specifications, system configuration, testing, etc. Understanding of order management, booking, or product fulfillment processes. Excellent problem solving, people management, and communication skills, with a demonstrable bias toward action. Experience with SAP BRIM (SOM, CI). About...

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for...

Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI‑driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize—presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation &...