Job Location: Cary, NC
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Summary of Duties: Communicate research and findings to audiences with varying degrees of technical knowledge. Share insights about large amounts of data and/or complex relationships, to translating data analysis into coherent reports and presentations. Serve as subject matter expert in the response to RFI/RFPs including defining solutions, technical writing, demonstrations, and client presentations. Serve as a trusted advisor to all stakeholders in defining and implementing ethical AI best practices. Research and develop methods to detect and quantify bias, understand where biases come from, explain models and their decisions, and attribute responsibility. Assist with translating concepts and research outcomes into product requirements. Evangelize and educate with respect to data ethics and responsible AI. Build analytic models, to support business leaders with data driven insights that address immediate business problems and objectives. Translate analytic insights into coherent reports and presentations for consumers with varying degrees of technical knowledge. Advocate for change management – beyond innovating new ideas, you will help in the adoption of new processes.
Qualifications: Position requires a Bachelor’s degree in Computer Science, Statistics, or a related quantitative field plus three (3) years of experience in the job offered or three (3) years of experience in a related occupation. Employer will alternatively accept a Master’s degree in Computer Science, Statistics, or a related quantitative field plus one (1) year of experience in the job offered or in a related occupation. Experience may be gained concurrent to attainment of graduate degree.
Additional Information
Summary of Duties: Communicate research and findings to audiences with varying degrees of technical knowledge. Share insights about large amounts of data and/or complex relationships, to translating data analysis into coherent reports and presentations. Serve as subject matter expert in the response to RFI/RFPs including defining solutions, technical writing, demonstrations, and client presentations. Serve as a trusted advisor to all stakeholders in defining and implementing ethical AI best practices. Research and develop methods to detect and quantify bias, understand where biases come from, explain models and their decisions, and attribute responsibility. Assist with translating concepts and research outcomes into product requirements. Evangelize and educate with respect to data ethics and responsible AI. Build analytic models, to support business leaders with data driven insights that address immediate business problems and objectives. Translate analytic insights into coherent reports and presentations for consumers with varying degrees of technical knowledge. Advocate for change management – beyond innovating new ideas, you will help in the adoption of new processes.
May work remotely pursuant to SAS’ Flexible Work Program.
Qualifications: Position requires a Bachelor’s degree in Computer Science, Statistics, or a related quantitative field plus three (3) years of experience in the job offered or three (3) years of experience in a related occupation. Employer will alternatively accept a Master’s degree in Computer Science, Statistics, or a related quantitative field plus one (1) year of experience in the job offered or in a related occupation. Experience may be gained concurrent to attainment of graduate degree.
Position requires knowledge of advanced statistical concepts, techniques, and appropriate use for techniques such as regression, properties of distribution and statistical tests. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Additional Information
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the Pay Transparency notice.
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.
All valid SAS job openings are located on the Careers page at www.sas.com. SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. Should you have any doubts about the authenticity of any type of communication from, for, or on behalf of SAS, please contact us at Recruitingsupport@sas.com before taking any further action.
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