We'd Love to See:Job Description
Sr. Analysts for various and unanticipated worksites throughout the U.S. (H.Q: Chicago, IL). Design, develop and productionize software application and systems to employ data science models, machine learning, and infrastructure, including deep learning and neural network architectures, including for financial forecasting. Establish scalable, efficient and automated processes for large-scale data analysis. Collaborate with internal and external partners. Gather data and perform statistical analysis. Perform analysis by extracting data and perform segmentation and statistical analysis of relevant data. Build scalable models with very large realworld data sets (over 2k+ data points for 100k-1M customers). Perform A/B testing for predictive models. Prioritize and contribute to multiple assignments simultaneously. Technical Environment: Machine learning and models, Statistical concepts, including Deep Learning, common Neural Network architectures, performance tradeoffs; Python, R, SQL; ETL tools (Google Cloud, Ab intio); time series.
*Master’s degree in Information Systems, Computer Science or Analytics or Data Science or related field plus two years of experience in job offered or as an analyst or in machine learning required. Required Skills: Experience with Machine Learning models & statistics, including Deep Learning, model performance tradeoffs; data science; Python, R, SQL; time series analysis & forecasting; creating data science models for financial forecasting; building scalable models with very large real-world data sets (over 2k data points); google cloud, Abinitio; A/B testing for predictive models; prioritize & contribute to multiple assignments simultaneously. Telecommuting permitted. (*Bachelor’s degree in Information Systems, Computer Science or Analytics or Data Science or related field plus five years of progressive experience in job offered or as an analyst or in machine learning also acceptable)