
Statistical Modeling Engineer
3 days ago
We are seeking a freelance SAS modeler engineer with a strong background in statistical modeling and Python development.
Key Responsibilities- Build, validate, and maintain complex statistical models using SAS and Python.
- Develop and execute a strategy for migrating SAS to Python, ensuring seamless integration of systems and workflows.
- Optimize SAS macros, procedures, and workflows into efficient Python equivalents, resulting in improved performance and scalability.
- Establish modeling standards, workflows, and performance monitoring frameworks to drive business growth and competitiveness.
- Provide guidance and support to team members on Python adoption, coding best practices, and analytics workflows.
- Expertise in SAS, including Base SAS, SAS/STAT, Enterprise Miner, Visual Analytics, PROC SQL, and macros.
- Proficiency in Python, including pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark.
- Strong knowledge of statistical concepts, including regression, forecasting, clustering, classification, A/B testing, and causal inference.
- Experience leading large-scale SAS to Python transitions, ensuring successful outcomes and stakeholder satisfaction.
- Leadership skills and ability to influence stakeholders and drive business results.
- 35 hours of work per week, providing flexibility and work-life balance.
- 100% remote work arrangement, allowing for optimal productivity and comfort.
- Monthly payments, ensuring timely compensation and financial stability.
- Minimum 6 years of experience required, with a strong track record of success and achievements.
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