Junior Data Scientist - Homechoice (Southern Surburbs (Cape) at HomeChoice Holdings Limited

What you will love doing in this role

• Maintaining and monitoring of existing predictive models in production
• Ensures that existing model performance does not degrade over time
• Picks up model errors early (prior to model outputs being used by the business)
• Writes code to monitor the historic performance of existing models
• Writes code to monitor the integrity of the mode input data
• Reporting (accurate, informative and scientific)
• Delivers consistent reports in excel, which do not contain any errors
• Objectively quantifies the uncertainty surrounding estimates (e.g. confidence intervals)
• Presents results clearly, in a way that clearly guides business decision-making
• Adherence and contribution to best practice (statistical and software)
• Knows and understands the existing team best practice specifications
• Implements best practice in their daily work
• Contributes to the team best practice specifications
• Designing new predictive models
• Creates new predictive models from scratch (the full pipeline)
• Ensures that new models adhere to the standard team model structure
• Creates model documentation allowing zero-day model handover
• Maintaining and contributing to the data science tool kit (code base)
• Effectively uses the tools in the existing team code base
• Recommends tools that can be added to the existing team code base, and ones that can be improved
• Adds new code to the existing team code base (with sufficient testing)
• Continuous Automation of Regular Processes
• Writes code that reduces the time taken to run regular processes, without reducing the output quality
• Ensures that automated processes generate sufficient logging that the team maintains trust in the output

Requirements

What we will love about you

• Undergraduate degree containing mathematics, statistics or computer science
• Evidence of ongoing personal development in data science, software development, statistics or machine-learning (online courses, personal blog etc.
• Previous data science, machine learning or statistical role
• ML-Ops (running models in production)
• Previous experience in Retail and/or Credit sector
• Advanced Python & SQL skills
• High proficiency in MS Excel
• Statistics and probability theory