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Samaha Consulting in Johannesburg invites a data scientist to join our analytics team and help turn data into business insights.
You will build and deploy models with Python, PySpark and Databricks, and present findings using Power BI.
Candidates typically hold a STEM degree with 2–5 years of experience; honours or master's are advantageous. Strong problem solving, communication, and collaboration with cross-functional teams are essential.
Minimum 3-year tertiary degree in a STEM field: Computer Science, Engineering, Mathematics, Statistics, Data Science or a related quantitative discipline.
Honours or Master's degree in Data Science, Statistics or a related field advantageous.
Fluent in English.
2 5 years' experience in a data science / advanced analytics environment (level dependent), with practical exposure to model development, interpretation and deployment.
Demonstrated experience with classification, regression, clustering and anomaly-detection techniques Experience working with large-scale distributed data processing (Spark/Databricks) is highly advantageous. Exposure to MLOps practices and deploying models into production is beneficial.
Python (pandas, PySpark), SQL (Hive, Trino), Scala/R advantageousBig Data & ML Platforms Databricks
anomaly detection
MLOps & DevOps MLflow, CI/CD pipelines, Azure DevOps, model monitoring & drift detectionVisualisation &
Power BI, Databricks
Strategic Thinking & Problem Solving able to translate ambiguous business problems into structured analytical approaches.
Analytical & Innovative rigorous, curious, and constantly looking for better ways to model and interpret data.
Communication & Business Storytelling able to explain technical concepts and results in clear, businessfriendly language for both technical and executive audiences.
Cross-Functional Collaboration comfortable partnering with business, engineering and governance
stakeholders.
Attention to Detail & Ownership takes accountability for code quality, model accuracy and documentation. Adaptability & Resilience thrives in a fast-paced environment spanning multiple concurrent projects and priorities.