Data Scientist at Datonomy Solutions

Job Title: Data Scientist at Datonomy Solutions Company: Datonomy Solutions Job Category: Data Science Roles & Responsibilities: We are seeking intermediate \& Senior Data Scientist's to develop and improve analytical models that support retail pricing, forecasting and operational decisions. The role will focus on four areas: anomaly detection, price elasticity, forecasting caps and forecast accuracy. You will work with business and technology teams to turn model outputs into decisions they can use and measure. This is a contract role, oniste in Cape Town. Key responsibilities * Anomaly detection: Develop methods to identify unusual patterns in sales, pricing, demand and forecast data. Investigate whether flagged results reflect data issues or genuine business events. * Price elasticity: Build and refine models that estimate how changes in price affect demand. Account for factors such as promotions, seasonality and differences between products or stores. * Capping in forecasting: Assess and improve the rules used to cap forecasts, so extreme predictions are controlled without suppressing genuine demand. * Forecast accuracy: Measure model performance using appropriate metrics, investigate sources of error and improve forecasts across products, stores and time periods. * Prepare and analyse large datasets using Python and SQL, with appropriate data\-quality checks. * Explain assumptions, results and limitations to commercial and operational stakeholders. * Work with data engineering and technology teams to implement, monitor and maintain analytical solutions. Work Location: Cape Town, Western Cape, South Africa Availability: Full time

Requirements * A degree in Data Science, Statistics, Mathematics, Computer Science or a related field. * Practical experience developing statistical or machine\-learning models, particularly demand forecasting or pricing analytics. * Strong Python and SQL skills. * Sound understanding of time\-series modelling, model evaluation and data quality. * Ability to investigate model behaviour and explain findings to non\-technical stakeholders. * Retail, FMCG or grocery experience. * Experience with price elasticity modelling, anomaly detection or forecast controls. * Experience applying models across large product and store ranges. Key Skills: Data Science Salary: Not disclosed