SAS Data Scientist

1 month ago

Johannesburg, South Africa PBT Group Full time

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.

 

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