SAS

Operations Research Specialist, Advanced Analytics and Optimization

US-NC-Cary
Requisition ID
20020327
Category
Research and Development
Visa Sponsorship
No
Travel Requirements
None

Overview

Germany SAS

About SAS:

SAS believes in the whole employee experience. Meaningful work. Empowerment to make a difference that changes people’s lives. Dynamic work environments that foster innovation. And an award-winning culture that makes it all possible. We believe great ideas can come from anywhere. Whether you're a university recruit, or an experienced professional ready for the next big challenge, SAS brings perks, passion, and the potential to grow. No limits.

 

About the Role:

As a member of the SAS Advanced Analytics and Optimization Service (AAOS), you will support customer analytic needs through data discovery, analysis, solution development and implementation in the area of operations research and related technologies.

 

You will participate in solution development and end-to-end customer projects involving advanced analytics. A key aspect of this role is to engage the customer from all levels, including executive and business sponsor, to drive and processes, adoption, and ensure project success. You will be involved in a variety of analytical engagements across different industries, often with high visibility to and direct interaction with customer senior management. You will be part of a team of experts with different specialized skill sets. Your role will include translating business requirements into analytic models, analyzing client data, applying technical expertise to solve the analytical models, and implementing analytical solutions. All areas of operations research are addressed, including mathematical programming, discrete event simulation, and predictive modeling.

 

Essential

  • Ph.D. degree in operations research, statistics, or a related quantitative field
  • At least three years of experience in practical implementations of advanced analytics projects in industry 
  • Strong verbal as well as written communication skills

Additional

  • Strong research level in expertise in a methodological area of operations research or predictive modeling 
  • Ability to perform in both team and individual environments
  • Experience communicating directly with customers at different levels (e.g. executives, users, analysts)

Preferences

  • Experience in simulation (discrete event or agent based) 
  • Experience in predictive analytics (forecasting, machine learning, AI) and its application in Operations Research projects

Our Culture

SAS looks not only for the right skills, but also for a cultural fit. We seek colleagues who will contribute to the unique culture that makes SAS such a great place to work. We look for the total candidate: technical skills, culture fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.

 

Additional Information:

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 will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

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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