Data Scientist - AI Specialist
Summary
Placements24 is recruiting on behalf of a client for a Data Scientist specializing in AI in Port Elizabeth. Day to day, the person builds and deploys ML models for forecasting, classification and anomaly detection, runs statistical analysis, and creates visualizations and reports using Python/R, SQL and standard ML libraries.
About the Role
Our client is seeking a dedicated Data Scientist with a specialization in AI to join their analytics division in Port Elizabeth. You will leverage your expertise in statistical modeling, machine learning, and data analysis to extract actionable insights and build predictive models. This role offers the chance to work on challenging datasets and develop innovative AI-driven solutions that impact business strategy and operations. You will be part of a forward-thinking team committed to harnessing the power of data to drive decision-making and create value for the organization. Become a key contributor to our evolving data landscape.
Key Responsibilities
- Develop and deploy machine learning models for forecasting, classification, and anomaly detection.
- Perform advanced statistical analysis and data mining to uncover trends and patterns.
- Collaborate with business units to define key performance indicators and analytical requirements.
- Build and maintain data visualizations and reports to communicate findings effectively.
- Stay abreast of the latest advancements in AI and data science, applying them to practical business problems in Port Elizabeth.
Requirements
- Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related field.
- 3+ years of experience as a Data Scientist with a strong focus on AI/ML applications.
- Proficiency in Python or R, and experience with data manipulation and ML libraries (Pandas, NumPy, Scikit-learn).
- Solid understanding of statistical concepts, experimental design, and hypothesis testing.
- Experience with SQL and working with large datasets.
Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health and retirement benefits package.
- Opportunities for professional development, including workshops and conferences.
- Flexible work arrangements supporting work-life balance.
- Engaging projects in a dynamic, data-rich environment in Port Elizabeth.