Senior Data Scientist

6 days ago

Gauteng, South Africa GAP Infrastructure Corporation Full time

**Key Responsibilities** - Lead design and development of end-to-end machine learning models. - Own data science lifecycle: from exploration and experimentation to production deployment. - Work with engineers and analysts to build pipelines and intelligent systems. - Drive AI/ML use cases, including NLP, forecasting, anomaly detection, and optimization. - Mentor junior team members and help establish best practices. - Communicate findings and strategic recommendations to leadership. - Assess, integrate, and extract data across multiple databases (structured and unstructured) to create usable datasets for analytics, dashboards, and business reporting. - Design and implement automated data extraction and transformation workflows to support real-time reporting needs. - Collaborate with IT and business units to understand data architecture and improve data accessibility and governance. **Required Skills & Experience** - 5+ years in data science or related field. - Expert proficiency in Python (e.g., Scikit-learn, PyTorch/TensorFlow, Statsmodels). - Strong SQL and experience with data engineering workflows. - Proven ability to translate business problems into data science solutions. - Hands-on experience with production ML pipelines and CI/CD. - Familiarity with Azure cloud platforms. - Excellent storytelling and stakeholder management skills. - Proficiency in full-stack development (e.g., JavaScript/TypeScript, Node.js, React, or similar), enabling development of internal tools or dashboards where necessary. - Strong understanding of relational and non-relational databases (e.g., SQL Server, MongoDB, PostgreSQL). **Additional Skills** - Experience with LLMs (e.g., OpenAI, Hugging Face Transformers). - Background in building recommendation engines, predictive maintenance, or fraud detection. - Familiarity with MLOps tools (e.g., MLflow, Kubeflow). - Experience working with unstructured data (text, image, audio). - "Experience developing and maintaining business intelligence dashboards (e.g., Power BI, Tableau, custom-built)." - "Knowledge of DevOps tools and practices for managing infrastructure supporting analytics workloads."

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