
Freelance Data Modeling Specialist
2 days ago
The ideal candidate for this freelance data modeling role is an experienced professional with a strong background in statistical modeling and data analysis. With a minimum of 6+ years of experience, they will be responsible for building, validating, and maintaining complex statistical/predictive models using SAS and Python.
- Data Modeling: Developing and implementing statistical models to drive business insights and optimize processes
- Migration Expertise: Leading the transition of existing SAS code to Python, ensuring seamless integration and optimal performance
- Code Optimization: Converting SAS macros, procedures, and workflows into efficient Python equivalents
- Best Practices: Establishing standards and guidelines for modeling, coding, and performance monitoring
- Tech Guidance: Guiding team members on Python adoption, coding best practices, and analytics workflows
To succeed in this role, candidates must possess:
- SAS Mastery: Expert-level knowledge of Base SAS, SAS/STAT, Enterprise Miner, Visual Analytics, PROC SQL, and macros
- Python Proficiency: Proficiency in pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark (bonus)
- Statistical Knowledge: Strong understanding of regression, forecasting, clustering, classification, A/B testing, and causal inference
- Migration Experience: Proven success in leading large-scale SAS to Python transitions
- Leadership Ability: Ability to lead teams, influence stakeholders, and deliver high-impact results
This freelance opportunity requires:
- Flexibility: ~35 hours of work per week, with 100% remote work arrangements
- Commitment: Minimum 6 years of experience in related fields
- Remote Work: Must have a 100% remote job currently
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