ERP Data / Business Architect Location Portland, Oregon State (Preferable) or Remote The client is in the design phase for the ERP transformation. From the data strategy point of view, the requirement is for a data
Description For the Dev position Id say the top three technical skills are fluency with SQL and Python, familiarity with team project work via git/source control, familiarity working with Snowflake/web based integration tools (Airflow/Workato/Mulesoft). Day to day
Providence is calling for Associate Actuary - Remote The Associate Actuary performs complex actuarial work with minimal supervision and delivers high quality results. Communicates findings and recommendations clearly to actuarial peers, leaders, and senior stakeholders across
Geospatial Application Engineer Non-Union Position Applications Support Group 4; Portland, Oregon (US-OR) Hybrid schedule available for Oregon & Washington residents. Regular FT, Exempt Posting # 5663 About Us: At NW Natural, we offer more than rewarding
GIS Application Engineer Non-Union Position Applications Support Group 4; Portland, Oregon (US-OR) Hybrid schedule available for Oregon & Washington residents. Regular FT, Exempt Posting # 5663 About Us: At NW Natural, we offer more than rewarding
Associate Healthcare Economics Director (Network Pricing & Analytics) Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly
Associate Director - Healthcare Economics Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side