Expert Statistical Modeling Consultant

1 week ago


Ellore, Andhra Pradesh, India beBeeData Full time ₹ 90,00,000 - ₹ 1,20,00,000
Job Opportunity

We are seeking a skilled SAS Modeler Engineer for a freelance project.

The ideal candidate will have at least 6 years of experience in modeling and analytics, with expertise in Base SAS, SAS/STAT, Enterprise Miner, Visual Analytics, PROC SQL, and macros. Additionally, they should possess strong Python skills, including proficiency in pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark (optional).

The successful candidate will be responsible for building, validating, and maintaining statistical/predictive models using SAS and Python. They will also lead the migration strategy from SAS to Python, convert SAS macros and procedures into optimized Python equivalents, and define best practices for modeling standards, workflows, and performance monitoring frameworks.

Apart from technical skills, we require a strong leader who can guide team members on Python adoption, coding practices, and analytics workflows. The ability to communicate effectively with stakeholders and deliver high-impact results is essential.

Key requirements include:

  • Modeling & Analytics: Build, validate, and maintain statistical/predictive models (SAS + Python)
  • Migration Leadership: Architect and execute SAS → Python migration strategy
  • Code Translation: Convert SAS macros, procedures, and workflows into optimized Python equivalents
  • Best Practices: Define modeling standards, workflows, and performance monitoring frameworks
  • Mentorship: Guide team members on Python adoption, coding practices, and analytics workflows

What We Offer:

  • 100% remote work arrangement
  • Monthly payment
  • Opportunity to work with top-notch developers
  • Chance to grow with a fast-paced multinational software company

This is a part-time opportunity that requires approximately 35 hours of work per week. If you are a seasoned professional with a passion for data analytics and leadership, we encourage you to apply.



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