
Data Scientist with Advanced Analytics Expertise
3 weeks ago
The role involves working closely with cross-functional teams to develop, deploy, and optimise models that enhance business performance and efficiency.
Key Responsibilities:
- Data Analysis and Modelling: Utilise SAS (Base, Enterprise Guide, and Visual Analytics) for data cleaning, statistical analysis, and predictive modelling.
- Model Development and Deployment: Develop, test, and deploy predictive models to forecast trends, customer behaviour, and other key metrics.
- ETL Processes: Design and maintain ETL processes to automate and optimise data flows across various systems.
- Data Exploration and Feature Engineering: Perform in-depth data analysis to extract patterns, identify trends, and derive actionable insights, transforming raw data into model-ready features.
- Performance Monitoring and Optimisation: Track and evaluate model performance post-deployment, making adjustments to ensure ongoing accuracy and relevance.
- Collaborative Problem Solving: Work closely with business stakeholders, data engineers, and other data scientists to understand data needs, deliver insights, and recommend process improvements.
- Documentation: Ensure all data science processes, models, and findings are well-documented and reproducible.
Requirements:
- Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Experience: 3+ years in a data science or advanced analytics role, with a strong focus on SAS.
- Technical Skills:
- SAS: Proficient in SAS Base, SAS Enterprise Guide, SAS Visual Analytics, and SAS Studio.
- Programming: Skilled in SQL, Python, or R, with experience in data manipulation and analysis.
- Statistical Analysis and Modelling: Expertise in statistical methodologies, including regression, clustering, time-series analysis, and predictive modelling.
- Data Engineering: Knowledge of ETL processes and database management.
- Data Visualisation: Proficiency in visualisation tools like SAS Visual Analytics, Tableau, or Power BI.
- Soft Skills:
- Strong problem-solving skills with an analytical mindset.
- Excellent verbal and written communication skills.
- Ability to work collaboratively and independently in a fast-paced environment.
Estimated Salary Range: $80,000 - $110,000 per annum, based on industry standards and location.
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