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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. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorF
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. Engineer features and conduct applied research across time-series, geospatial, demographic, insurance claims, and more datas
Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). 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
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
This part-time role requires no more than 20 hours per week and involves data entry and database management. Penn State University is seeking candidates for Part-Time Research Assistant positions in University Park, Texas. Responsibilities include supporting investigators with coding, designing new
MACHINE LEARNING TECHNOLOGIES LLC is looking for a Financial Data Analyst based in Richardson, TX for a 12-month contract. You will develop and maintain data infrastructure, perform detailed analysis, and create data visualizations to aid business decisions. The position requires a mix of data and f