Econometrics Software Developer

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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 opensource 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

• Bachelors degree in computer science or masters 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 testingmethodology 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 its not about fitting into our culture its 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 its not about fitting into our culture its 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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