SAS Data Scientist

Recruiter:

PBT Group

Job Ref:

3956624844

Date posted:

Friday, November 8, 2024

Location:

Johannesburg, South Africa

SUMMARY:
-

POSITION INFO:

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.

NB! This job is now closed. You can apply for other jobs by uploading your CV.

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