
Senior Statistical Modeling Professional
2 days ago
Job Title: SAS Modeler Engineer
About the Role
We are seeking a highly skilled Freelance SAS Modeler Engineer to build, validate, and maintain statistical/predictive models using SAS and Python.
Key Responsibilities:
- Modeling & Analytics: Develop and maintain statistical/predictive models (SAS + Python) to drive business growth and improvement.
- Migration Leadership: Lead the migration of SAS code to Python, ensuring seamless transition and optimal performance.
- Code Translation: Convert SAS macros, procedures, and workflows into optimized Python equivalents, improving efficiency and accuracy.
- Best Practices: Establish modeling standards, workflows, and performance monitoring frameworks to ensure consistency and quality.
- Mentorship: Guide team members on Python adoption, coding practices, and analytics workflows, promoting skill development and knowledge sharing.
Requirements:
- Statistical Strength: Proficiency in regression, forecasting, clustering, classification, A/B testing, and causal inference.
- Technical Expertise: Strong skills in Base SAS, SAS/STAT, Enterprise Miner, Visual Analytics, PROC SQL, and macros, as well as pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark.
- Leadership: Ability to lead teams, influence stakeholders, and deliver high-impact results.
What We Offer:
- 100% Remote Work: Work from anywhere, at your own pace.
- Flexible Schedule: 35 hours of work per week, with flexibility to adjust as needed.
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