
Advanced Statistical Modeling Specialist
3 days ago
Overview:
This role is a fantastic chance for experienced professionals to work as freelance SAS modeler engineers. The ideal candidate will have 6+ years of experience in statistical modeling and analytics, with expertise in Base SAS, SAS/STAT, Enterprise Miner, Visual Analytics, PROC SQL, macros, and Python.
Key Responsibilities:
- Modeling & Analytics: Develop and implement statistical/predictive models using SAS and Python.
- Migration Leadership: Oversee the migration of existing SAS code to optimized Python equivalents.
- Code Translation: Convert complex SAS macros, procedures, and workflows into streamlined Python equivalents.
- Best Practices: Establish and maintain standards for modeling, workflows, and performance monitoring.
- Mentorship: Provide guidance to team members on Python adoption, coding practices, and analytics workflows.
Required Skills & Qualifications:
- Advanced SAS skills: proficiency in Base SAS, SAS/STAT, Enterprise Miner, Visual Analytics, PROC SQL, and macros.
- Expert-level Python skills: pandas, NumPy, scikit-learn, matplotlib, seaborn, PySpark (optional).
- Statistical strength: regression, forecasting, clustering, classification, A/B testing, causal inference.
- Migration experience: proven success leading large-scale SAS to Python transitions.
- Leadership: ability to lead teams, influence stakeholders, and deliver high-impact results.
Benefits:
- 100% remote work arrangement.
- Flexible monthly payment schedule.
- Opportunity to work with Fortune 500 companies.
Working Conditions:
The ideal candidate should have a strong track record of delivering results in similar roles and possess excellent communication skills. If your performance is satisfactory, this arrangement will continue for an extended period.
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