3 senior data analyst jobs found

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...

This is a 3-year fixed term appointment. Stanford Data Science This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization’s goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future. POSITION SUMMARY Stanford University has made a strategic...

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 &...