You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. Frame open-ended business questions as modeling problems — selecting the right approach (classification, regression, clust
You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutio
Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. As a Data Scientist / Data Analyst / Data Science Specialist for Ad
Responsibilities Develop and maintain data infrastructure: gather data from multiple sources, maintain data sets, and ensure data integrity. Create data visualizations: design and build data visualizations (including charts, tables, and dashboards) using Excel, Tableau, and/or Smartsheet to present