Senior Data Scientist - Machine Learning

About the Role

Our client is seeking an innovative Senior Data Scientist with a specialization in Machine Learning to join their growing analytics team in Port Elizabeth . This role is vital in extracting actionable insights from complex datasets, developing predictive models, and driving data-informed decision-making across the organization. You will work with cutting-edge tools and technologies in a collaborative environment, contributing to key business strategies.

The opportunity to shape data science initiatives in the beautiful coastal city of Port Elizabeth is exceptional.

• Develop, train, and deploy advanced machine learning models for tasks such as prediction, classification, and anomaly detection.
• Analyze large, complex datasets to identify trends, patterns, and insights that can drive business value.
• Collaborate with product and engineering teams to integrate ML models into production systems and applications.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders through visualizations and presentations.
• Stay abreast of the latest research and advancements in data science and machine learning, applying them to solve business problems.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a significant focus on machine learning and statistical modeling.
• Proficiency in Python or R, along with relevant libraries (e.g., Tensor Flow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Strong analytical and problem-solving skills, with a proven track record of delivering data-driven solutions.

• Highly competitive salary and attractive bonus structure.
• On-site work environment in Port Elizabeth .
• Comprehensive health, dental, and vision insurance.
• Opportunities for continuous learning and professional development, including conferences.
• A collaborative culture that values innovation and data-driven insights.