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Job Description:
You will join the growing Data Science team at Mr D Food, and report to the Data Science Team Lead. The nature of the position will require interaction with various teams across the Mr D Food business, and will include the Product, Operations, Engineering, Data & Analytics as well as Growth and Marketing teams.
Job Responsibilities:
- Personalisation engines to recommend dishes, restaurants, promotions, etc.
- Key operational parameter anomaly detection techniques
- Enable easy monitoring and assessment of all data science solutions implemented in the Mr D Food business
- Customer segmentation models to optimise content and/or communication relevancy based on customer preferences
- Operationalising prediction models into Mr D Food’s data science technology stack
- Dynamic estimators to maximise operational efficiency (e.g. food preparation time, dynamic delay estimation, etc.)
- Automated daily & hourly order forecasting models
Job Requirements:
- Attention to detail in a high-pressure environment
- Experience with recommender models and natural language processing beneficial
- Experience with any of the following AWS services beneficial: Sagemaker (incl. Studio), Glue, Athena, ECR, CodePipeline
- Experience with Docker
- Advanced analytical ability
- Experience with querying and conducting ETL against both SQL and non-SQL based data stores
- Experience with MLOps best practices beneficial
- Knowledge of and experience with mainstream machine learning (ML) tools, including Tensorflow and/or Keras, Scikit-learn, and Pandas
- Experience in Python and Linux command line
Qualification & Experience:
- Data science exposure in a retail or e-commerce environment is beneficial
- 5 years or more work experience as a Data Scientist
- Relevant tertiary qualifications in Statistics, Mathematics, Computer Science and/or Engineering
Job Details:
Company: Takealot
Vacancy Type: Full Time
Job Location: Cape Town, Western Cape, SA
Application Deadline: N/A
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