We are seeking a highly skilled Data Scientist proficient in SAS to join our data analytics team. The ideal candidate will have a strong background in statistical analysis, data mining, and predictive modelling, utilising SAS tools to drive data insights and support data-driven decision-making. This 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, predictive modelling, and visualisation.
- Model Development and Deployment : Develop, test, and deploy predictive models (e.g., regression, classification) 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.
Preferred Qualifications:
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
- Knowledge of other statistical tools and software.
- Certifications in SAS or Data Science methodologies.
Benefits:
- Competitive salary and performance-based incentives.
- Professional development opportunities, including SAS certification programs.
- Flexible working arrangements (remote or hybrid options).
Competencies:
- Analytical Thinking : Strong analytical skills to interpret complex datasets and generate insights.
- Attention to Detail : Ability to ensure accuracy and integrity of data analysis.
- Collaboration : Skilled in working within cross-functional teams to achieve data-driven outcomes.
- Adaptability : Able to work in a dynamic, evolving field with changing technology and business needs.
