ContractData & Analytics
Data Scientist
- Location
- Cape Town, Western Cape
- Contract
- Contract
- Salary (as advertised)
- R85 000 – R110 000 per month
- Minimum qualification
- Bachelor's degree
- Closing date
First listed . Last checked at source .
At a glance
- Python
- SQL
Extracted automatically from the advert; confirm requirements on the original listing.
Job description
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.
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.
Advantageous
* Retail, FMCG or grocery experience.
* Experience with price elasticity modelling, anomaly detection or forecast controls.
* Experience applying models across large product and store ranges.
Datonomy Solutions (Pty) Ltd
Recruiter
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