At SAS, our vision is to transform a world of data into a world of intelligence. SAS recently announced a $1 Billion investment in Artificial Intelligence which includes new advanced AI technologies and solutions, as well as offering skills and support to customers. SAS is committed to driving the future of analytics and is at the forefront of building new solutions, including solutions built for the Internet of Things.
The Sr. AI/ML Data Engineer will be passionate about analytics and knowledgeable about the supporting platforms that enable analytic solutions. You will also be curious with a drive for continuous learning. You will have a passion for developing solutions for customers’ varied business problems. At SAS, you will have the opportunity to collaborate with many experts in a variety of analytical specialties. Your experience using Open Source technologies, setting up back office analytics services and using cloud environments to enhance capabilities will be valued, as SAS seeks to advance our approach to market. An ideal candidate will have applied the analytic disciplines to provide value in the Media or Communication industries.
You will be focused on ensuring success of SAS platform sales. You will support the sales team with solution sales activities to maximize revenue opportunities and ensure the highest levels of customer satisfaction, including:
You will also be responsible for developing and enhancing our execution capabilities which requires a strong foundation in analytics and visualization software with high caliber presentation skills. This analytic foundation could include econometric forecasting, machine learning, text analytics and/or optimization skills.
Additional activities may include:
SAS looks not only for the right skills, but also a fit to our core values. We seek colleagues who will contribute to the unique values that makes SAS such a great place to work. We look for the total candidate: technical skills, values fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. 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 notice Pay Transparency
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.