
Advanced Statistical Modeler Specialist
1 week ago
We are seeking an experienced Statistical Modeler to build, validate, and maintain statistical models using SAS and Python.
The ideal candidate will have a minimum of 6+ years of experience in SAS modeling and analytics, as well as expertise in Python programming languages such as pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark.
Responsibilities include:
- Building & Validating Models: Develop, test, and deploy statistical/predictive models (SAS + Python)
- Migrating Systems: Lead the migration of SAS systems to Python-based architectures
- Code Optimization: Translate SAS macros, procedures, and workflows into optimized Python equivalents
- Standards Definition: Establish modeling standards, workflows, and performance monitoring frameworks
- Talent Development: Guide team members on Python adoption, coding best practices, and analytics methodologies
Required Skills & Qualifications:
- SAS Expertise: Base SAS, SAS/STAT, Enterprise Miner, Visual Analytics, PROC SQL, macros
- Python Proficiency: pandas, NumPy, scikit-learn, matplotlib, seaborn, PySpark (bonus)
- Statistical Knowledge: Regression, forecasting, clustering, classification, A/B testing, causal inference
- Migration Experience: Proven success leading large-scale SAS to Python transitions
- Leadership Ability: Ability to lead teams, influence stakeholders, and deliver high-impact results
Benefits & Opportunities:
- Freelance Opportunity: Work approximately 35 hours per week with flexible scheduling
- Remote Work: Enjoy a fully remote work environment with no office commute
- Regular Payments: Receive payments every month for your work completed
Additional Information:
This role requires strong technical skills, leadership ability, and excellent communication skills. If you are a highly skilled Statistical Modeler looking for a challenging freelance opportunity, please consider applying.
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