About the Role
Our client, a prominent data-driven organization, is seeking a Principal Data Scientist to spearhead their advanced analytics initiatives in Soweto, Gauteng. This leadership role requires a deep understanding of machine learning, statistical modeling, and data mining techniques to extract valuable insights from complex datasets. You will be responsible for defining data science strategies, mentoring a team of data scientists, and delivering impactful predictive models and analytical solutions that drive business growth and innovation. This is a unique opportunity to influence key business decisions and shape the future of data science within a leading organization in South Africa.
Key Responsibilities
- Lead the development and implementation of advanced machine learning models and statistical analyses.
- Define data science project roadmaps, aligning them with business objectives and opportunities in Soweto.
- Extract, clean, and transform large, complex datasets from various sources.
- Design and execute experiments to test hypotheses and validate model performance.
- Develop and deploy predictive models for forecasting, classification, clustering, and anomaly detection.
- Mentor and guide junior data scientists, fostering their technical and professional development.
- Communicate complex analytical findings and recommendations clearly to technical and non-technical stakeholders.
- Collaborate with engineering and product teams to integrate data science solutions into production systems.
- Stay current with the latest research and advancements in data science, machine learning, and artificial intelligence.
- Evaluate and recommend new tools and technologies to enhance the data science capabilities of the organization.
Requirements
- Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- A minimum of 8 years of experience in data science or a related analytical role, with a proven track record of leading impactful projects.
- Expertise in machine learning algorithms (e.g., regression, classification, deep learning, NLP) and statistical modeling.
- Proficiency in programming languages commonly used in data science, such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL/NoSQL databases.
- Strong data visualization skills and experience with tools like Tableau, Power BI, or Matplotlib.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven leadership and team management capabilities.
- Strong communication and presentation skills, with the ability to explain complex concepts simply.
- Familiarity with cloud platforms (AWS, Azure, GCP) for data science workflows is advantageous.
Benefits
- Highly competitive salary and performance-based bonus structure.
- Comprehensive medical aid and retirement fund benefits.
- Opportunities for advanced training, conferences, and professional development.
- Lead cutting-edge data science projects with significant business impact.
- Work in a collaborative and innovative environment in Soweto.
- Contribute to data-driven decision-making across a leading South African company.
- Support for research and exploration of new analytical techniques.