Hiring: Data Scientist Company: Rocket Location: Michigan, United States Job Posted Time: 2026-09-16 12:02:14 Target Skills & Keywords : AWS, Azure, C++, GCP, Hadoop, Java, Machine Learning, Project Management, Python, SQL About the job Experience: •3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP •3 years of experience with statistical and data mining tools and methods •3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs) •3 years of experience working with SQL •3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.) Required Skills: •Analyze, manipulate and process large sets of data •Develop predictive/machine learning models from large sets of structured and unstructured data •Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models •Apply sampling techniques to determine groups to be surveyed •Compare models using statistical performance metrics, such as loss functions or proportion of explained variance •Create graphs, charts or other visualizations to convey the results of data analysis •Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders •Identify business problems or leader objectives that can be addressed through data analysis Qualifications: •Master’s degree in mathematics, statistics, computer science or a related field or equivalent experience •Advanced understanding of data visualization libraries •Advanced understanding of statistical methodologies for modeling and business analytics •The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is Compensation: •$97,000 - $207,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!