Senior Data Scientist

Our client is actively seeking a highly analytical and experienced Senior Data Scientist to join their data-driven organization in Polokwane, Limpopo, ZA . This role operates on a hybrid model, offering a blend of in-office collaboration and remote work flexibility. You will be instrumental in extracting valuable insights from complex datasets, developing predictive models, and driving data-informed decision-making across the business.

This is an exciting opportunity to work with large-scale data, cutting-edge analytical tools, and a team of talented professionals. The ideal candidate possesses a strong statistical background, proficiency in machine learning techniques, and excellent communication skills to translate findings into actionable business strategies. You will contribute to shaping the future of our data analytics capabilities.

• Design and implement statistical models and machine learning algorithms to solve complex business problems.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop predictive models for forecasting, classification, and anomaly detection.
• Clean, transform, and prepare data for analysis and modeling.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate with engineering and product teams to integrate data-driven solutions into products and services.
• Develop and maintain data visualizations and reports to track key metrics and KPIs.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Evaluate and implement new data mining techniques and tools.

• Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• 5+ years of experience as a Data Scientist or in a similar analytical role.
• Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., Pandas, Num Py, Scikit-learn, Tensor Flow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work effectively both independently and as part of a hybrid team.

• Competitive salary with performance-based incentives.
• Comprehensive health, dental, and vision benefits.
• Hybrid work arrangement offering work-life balance.
• Generous paid time off and holidays.
• Professional development opportunities, including conferences and workshops.
• Access to cutting-edge data science tools and platforms.
• Collaborative work environment in Polokwane .
• Retirement savings plan.
• Employee wellness programs.