Technical Associate

Computer Science and Artificial Intelligence Laboratory (CSAIL), to work on understanding the economic and technical foundations of progress in computing.  Will analyze trends in deep learning or other aspects of computing; gather primary or secondary data; and prepare research visualizations, writings, presentations, and analysis.  Will also collaborate with and contribute to the research of other lab members and to the broader work of the lab. 

A bachelor's degree in data science, statistics, or computer science; and two years of specialized lab experience in machine learning/data science.  Must be proficient with programming languages, e.g., Python (Numpy, SciPy, Pandas, Matplotlib, scikit-learn, PyTorch, TensorFlow), R (dplyr, ggplot2, Plotly, ISLR, randomForest, Shiny), SAS, C++, SQL, Java, JavaScript, and Mathematica; databases, e.g., MySQL and MongoDB; and other software/tools, e.g., LaTeX, Word, Excel (VLOOKUP, PivotTable, VBA), PowerPoint, HTML/CSS, SPSS, IBM Watson Studio, Salesforce.  PREFERRED:  industry experience and conference publications in machine learning (ML) and data science.  Job #22874