Statistical Data Scientist
2 weeks ago
Job Descriptions:
Skills Required: Digital : BI- Fundamentals of Business Analytics using SAS Digital : Python Digital : Py-thon Web Frameworks Job Description: Data Analysis Manipulation Utilizing both SAS and Python (with libraries like Pandas, NumPy) for data extraction, transformation, cleansing, and analysis from various sources. Statistical Modelling Analytics Developing, implementing, and validating statistical models and predictive analyt-ics using SAS procedures and Python libraries (e.g., scikit-learn). SAS Modernization Conversion Ana-lysing existing SAS programs and workflows, identifying opportunities for re-engineering, and converting SAS codebases to Python Spark for improved scalability and efficiency. Automation Workflow Develop-ment Building and maintaining automated data pipelines, reporting systems, and analytical workflows using Python scripting. Collaboration Communication Working with business stakeholders, data engi-neers, and other teams to understand requirements, translate them into analytical solutions, and pre-sent findings. Documentation Best Practices Documenting code, processes, and methodologies to ensure consistency, maintainability, and knowledge transfer. Troubleshooting Optimization Identifying and resolving issues in data processes and analytical solutions, and optimizing performance of both SAS and Python code.
Data Analysis Manipulation Utilizing both SAS and Python (with libraries like Pandas, NumPy) for data extraction, transformation, cleansing, and analysis from various sources. Statistical Modelling Analyt-ics Developing, implementing, and validating statistical models and predictive analytics using SAS pro-cedures and Python libraries (e.g., scikit-learn).SAS Modernization Conversion Analysing existing SAS programs and workflows, identifying opportunities for re-engineering, and converting SAS codebases to Python Spark for improved scalability and efficiency. Automation Workflow Development Building and maintaining automated data pipelines, reporting systems, and analytical workflows using Python scripting. Collaboration Communication Working with business stakeholders, data engineers, and other teams to understand requirements, translate them into analytical solutions, and present find-ings. Documentation Best Practices Documenting code, processes, and methodologies to ensure consistency, maintainability, and knowledge transfer. Troubleshooting Optimization Identifying and resolving issues in data processes and analytical solutions, and optimizing performance of both SAS and Python code.
**Job Type**: Fixed term contract
Pay: $50.00-$65.00 per hour
Work Location: In person
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