SAS Analytics Expert
1 month ago
We are seeking a highly skilled Data Scientist with expertise in SAS to join our data analytics team. The ideal candidate will have a strong background in statistical analysis, data mining, and predictive modeling, utilizing SAS tools to drive data insights and support data-driven decision-making.
Key Responsibilities:- Data Analysis and Modeling: Utilize SAS (Base, Enterprise Guide, and Visual Analytics) for data cleaning, statistical analysis, predictive modeling, and visualization.
- Model Development and Deployment: Develop, test, and deploy predictive models (e.g., regression, classification) to forecast trends, customer behavior, and other key metrics.
- ETL Processes: Design and maintain ETL processes to automate and optimize 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 Optimization: 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.
Competitive Salary: $80,000 - $110,000 per year, depending on experience and qualifications.
About the Position: This role involves working closely with cross-functional teams to develop, deploy, and optimize models that enhance business performance and efficiency. As a Data Scientist at PBT Group, you will have the opportunity to work on a wide range of projects, from data analysis and modeling to machine learning and artificial intelligence.
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 Modeling: Expertise in statistical methodologies, including regression, clustering, time-series analysis, and predictive modeling.
- Data Engineering: Knowledge of ETL processes and database management.
- Data Visualization: Proficiency in visualization 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.
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