Senior Data Scientist - Machine Learning

About the Role Our client, a forward-thinking analytics firm based in Welkom , Free State, is looking for a highly motivated Senior Data Scientist with a specialization in Machine Learning. This role is crucial for developing and deploying advanced predictive models and analytical solutions that drive business intelligence and strategic decision-making. You will work with large, complex datasets, applying cutting-edge machine learning algorithms to uncover insights and create value. The position offers a hybrid work model, allowing for a blend of focused remote work and collaborative in-office sessions at our Welkom facility. We are seeking a candidate with a strong academic background, practical experience in applying ML techniques, and a passion for solving challenging problems. You will be part of an innovative team that is shaping the future of data-driven insights in the region. Key Responsibilities Design, develop, and implement machine learning models for various business applications (e.g., prediction, classification, clustering, anomaly detection). Explore, clean, and pre-process large and complex datasets from diverse sources. Identify and evaluate potential machine learning algorithms and techniques suitable for specific problems. Build and maintain data pipelines for model training, validation, and deployment. Collaborate with business stakeholders to understand their needs and translate them into data science problems. Communicate complex findings and recommendations clearly to both technical and non-technical audiences. Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and data science. Perform feature engineering, model selection, and hyperparameter tuning to optimize performance. Conduct A/B testing and other statistical analyses to validate model effectiveness. Mentor junior data scientists and contribute to the team's technical growth. Requirements Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. 5+ years of professional experience in data science, with a strong focus on machine learning. Proficiency in programming languages such as Python (with libraries like Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy) or R. Strong understanding of statistical modeling, data mining, and machine learning algorithms. Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to develop and deploy machine learning models into production environments. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau). Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills. Experience working in a hybrid or remote team environment is beneficial. Prior experience within the Free State province is an advantage. Benefits Competitive salary and performance-based incentives. Hybrid work arrangement promoting work-life balance. Comprehensive health insurance coverage. Generous annual leave and company holidays. Professional development opportunities, including access to online courses and conferences. Retirement savings plan. Dynamic and collaborative work environment. Opportunity to work on challenging and impactful projects. Regular team social events and workshops. State-of-the-art tools and technologies for data analysis. #J-18808-Ljbffr