Summary of Duties: Responsible for designing, developing and maintaining software in a CI/CD delivery model involving various techniques such as automated machine learning and predictive modeling. Responsible for building and enhancing applications to address a wide variety of customer needs across various industries. Stay at the forefront of machine learning techniques and data mining methodology, identify appropriate algorithms within SAS, and incorporate these methods into an automated modeling process. These techniques will include feature engineering, hyperparameter tuning for supervised learning algorithms, ensemble modeling, and sampling methods for rare events. Research statistical methodology and computational algorithms. Design software tools for machine learning and data mining. Program and test modules. Author user documentation and papers to communicate the best use of the software. Present to professional audiences about the product and analytical methods. Communicate with other SAS professional staff in Testing, Technical Support, Education, Marketing, and other departments.
Qualifications: Position requires a Master’s degree in Management Information Systems, Statistics, Analytics, Physics, Computer Science, or related quantitative field plus three years of experience in the job offered or three years of experience as an Analytical Consultant or related testing and programming role. Alternatively, employer will accept a PhD in Management Information Systems, Statistics, Analytics, Physics, Computer Science, or related quantitative field or a Bachelor’s degree in the aforementioned fields and 5 years of experience as an Analytical Consultant or other related testing and programming role.
Position requires analytic background and programming skills to develop applications for the areas of data mining and machine learning. Requires experience in software development/programming experience using the SAS language. Requires experience with the Model Studio application of SAS Visual Data Mining and Machine Learning. Requires background in machine learning, predictive modeling, or data mining.
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Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
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