Primary role is to analyze data and build machine learning models using GCP services like Vertex AI and BigQuery. Lead a team of Data scientists, guide and monitor for efficiency and productivity. Key responsibilities include the end-to-end project lifecycle, from defining business problems and collecting data to deploying and monitoring models, while collaborating with data engineers and business stakeholders to drive data-driven decisions. Data...
Job Details. Screen reader users may encounter difficulty with this site. For assistance with applying, please contact If you have questions while submitting an application, please review these frequently asked questions. Current Employees and Students. If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career...
Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions. Current Employees And Students. If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome To The Ohio Stat...
Insight Global is hiring for Data Scientists. to support Naval mission-critical initiatives. This position will be ON-SITE and located in Norfolk, VA. It is required to have an active DoD clearance at the Secret level or higher to start. This position will be analyzing and assessing emerging technologies and capabilities (i.e., cloud computing, artificial intelligence, data science, machine learning) for integration into the C5i Information Envir...
Title : Data Science (Geospatial Advanced Analytics). Location : St. Louis, MO – Hybrid- 3 days a week in office. Geospatial Data Scientist: This role combines data science with geospatial technology to develop models and tools that extract meaningful insights from large datasets. Professionals in this field often use machine learning to analyze spatial data for applications like predicting urban growth, analyzing transportation patterns, or asse...