Job Description

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About the job

Econometrics Software Developer

The Global Engineering Foundation – Analytics team is seeking a talented Econometrics Software Developer to join our engineering organization. This team develops and supports core components of the SAS System that deliver a broad range of econometric and time series techniques, helping businesses understand and quantify economic impacts.

As a Software Developer, you will:

• Research, Design, develop, and test econometrics software while adhering to R&D best practices and processes.
• Perform numerical validation through independent coding, cross-validation with existing SAS products or third-party solutions, equivalence testing, simulations, and predictive performance analysis.
• Plan, design, and perform functional and regression testing of SAS Econometrics software.
• Advance the testing framework by refactoring or replacing legacy tests with modern, maintainable PyTest based implementations.
• Review and improve software documentation for accuracy and clarity.
• Assist Tech Support and consultants in resolving customer reported issues.
• Engage in open‑source projects on behalf of SAS, fostering innovation and community collaboration.
• Embrace curiosity, passion, authenticity, and accountability. These are our values and influence everything we do.

Qualifications

• Bachelor’s degree in computer science or master’s degree in quantitative field (Statistics, Econometrics, Quantitative Economics)
• Minimum of 5 years of enterprise experience in software development.
• Strong programming skills in C; C++ or other lower-level programming languages; working knowledge of Python or R.
• Familiarity with modern testing methodology, testing strategies and coverage.
• Expertise in test automation scripting and frameworks such as PyTest.
• Ability to use debugging techniques to narrow down failures within the system including viewing critical logs, examining system metrics, and understanding multi-tiered solutions.
• The candidate should have a strong passion for quantitative fields such as statistics, econometrics, and time series analysis, and invest independent time in learning, researching, and experimenting with new innovations in the field.
• Excellent interpersonal, verbal, and written communication skills coupled with excellent organizational, analytical, and problem-solving skills.
• Demonstrated ability to manage time across multiple projects; proven track record of delivering complex projects on schedule

Experience: 5-9 Years

Additional competencies, knowledge and skills

• Linux/Windows experience.
• Experience using Git or GitHub for source code management and code review.
• Experience with container and container orchestration technologies like Docker and Kubernetes.
• Good understanding of CI/CD practices.
• Experience with collaboration tools such as Jira and Confluence.
• Experience with Agile SDLC practices.

You are welcome here.

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

You are welcome here.

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

Additional Information:

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