
Advanced Data Analyst Role
1 day ago
We are seeking an experienced data analyst to join our team. As a successful candidate, you will be responsible for designing and implementing statistical models using SAS and Python programming languages.
Your primary goal will be to build, validate, and maintain complex predictive models that drive business growth. To achieve this, you must have a strong foundation in statistics and machine learning concepts, including regression, clustering, classification, A/B testing, and causal inference.
The ideal candidate will also possess leadership skills, allowing them to influence stakeholders and guide team members on best practices for analytics workflows.
Key Responsibilities:
- Data Analysis and Modeling: Develop and deploy advanced statistical/predictive models using SAS and Python.
- Migration Leadership: Architect and execute large-scale SAS to Python migration strategy.
- Code Optimization: Translate SAS macros, procedures, and workflows into optimized Python equivalents.
- Best Practices: Establish modeling standards, workflows, and performance monitoring frameworks.
- Mentorship: Guide team members on Python adoption, coding practices, and analytics workflows.
Benefits:
- Remote Work Arrangement: 100% remote work arrangement.
- Flexible Schedule: 35 hours of work per week.
- Paid Monthly: Competitive salary paid monthly.
Requirements:
- Minimum Experience: Minimum 6 years of experience in SAS modeling and analytics.
- Strong Programming Skills: Strong Python skills, including proficiency in pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark (if applicable).
- Leadership Abilities: Proven leadership abilities and ability to influence stakeholders.
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