Senior Data Scientist - Advanced Analytics

Our client, a leader in applied scientific research, is seeking an exceptionally talented Senior Data Scientist to join their cutting-edge team in Vereeniging, Gauteng . This pivotal role involves driving innovative data-driven solutions that push the boundaries of scientific discovery. You will work on complex datasets, develop sophisticated predictive models, and translate intricate analytical findings into actionable business insights. This is a unique opportunity to contribute to high-impact projects in a collaborative and intellectually stimulating environment.

The position offers a blend of on-site collaboration in Vereeniging and remote flexibility, fostering a dynamic work-life balance.

• Design, develop, and implement advanced statistical models and machine learning algorithms to address complex scientific challenges.
• Perform extensive data mining and analysis on large, diverse datasets, identifying patterns, trends, and anomalies.
• Develop and deploy predictive models for forecasting, classification, and optimization tasks relevant to scientific R&D.
• Collaborate closely with cross-functional teams of researchers, engineers, and product managers to define project requirements and deliver data-driven solutions.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Mentor junior data scientists and contribute to the team's technical growth and knowledge sharing.
• Evaluate and integrate new data technologies and methodologies to enhance analytical capabilities.

• Requirements Master's or Ph.D. in Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a proven track record of successfully delivering complex analytical projects.
• Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, Tensor Flow, PyTorch, Pandas, Num Py).
• Expertise in SQL and experience working with relational databases; familiarity with No
  
  SQL databases is a plus.
• Solid understanding of statistical modeling, machine learning techniques (supervised and unsupervised), and experimental design.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate findings effectively.
• Excellent problem-solving skills, critical thinking, and attention to detail.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to a diverse audience.
• Previous experience in a scientific research and development environment is highly advantageous.

Our client offers a highly competitive salary package, comprehensive health and wellness benefits, generous paid time off, and opportunities for professional development and continuous learning. Employees will have access to state-of-the-art research facilities and cutting-edge technology. The hybrid work model provides flexibility, allowing for a healthy work-life integration while fostering collaboration within the Vereeniging based team.