Mr D - Senior Data Scientist

Overview

MR D, a 100% subsidiary of , is looking for a talented, motivated and results-oriented Senior Data Scientist. We are a young, dynamic, hyper growth company looking for smart, creative, hard-working people with integrity to join us.
Think you’ve been challenged before? Think again!

• Scale: Show the millions of Mr D customers what you can do.
• Learn: We work with the best of the best, and then some. Code alongside industry leaders and upskill in record time.
• Grow: Expand your career in the fast-growing Takealot Group: , Mr D & TFS. We like to promote from within:
  Here’s your chance.

As a Senior Data Scientist, you’ll play a pivotal role in building, deploying, and maintaining machine learning models for discovery, personalisation, operational optimisation, fraud prevention and other purposes. In addition, discover insights through data analysis to support business development and enterprise strategies.

This position reports to the Engineering Manager.

• Independently conducts feature engineering, data analysis, data processing, and model development that drives measurable business impact across food, grocery, and retail delivery services.
• Owns machine learning projects from conception to production, focusing on maximum long term business impact aligned with business objectives and key results.
• Provides valuable code reviews and technical guidance to team members while staying current with the latest ML advancements relevant to business context.
• Troubleshoots and resolves complex model, analysis, and feature issues independently with critical thinking and innovative problem-solving approaches.
• Creates sophisticated data-driven solutions to business problems including discovery, personalisation, operational optimisation, fraud prevention, forecasting, and customer retention.
• Collaborates effectively across teams to translate data insights into actionable strategies and solutions.
• Empowers other team members and contributes to team knowledge sharing and best practices development.
• Continuously improves ML methodologies, code quality, model performance, and system scalability to enhance team effectiveness.

• Model Development and Deployment: Develop, deploy and maintain scalable machine learning models end-to-end.
• Data Analysis & Insights: Conduct exploratory data analysis and generate actionable business insights that identify growth opportunities and inform strategic decisions.
• Research & Innovation: Evaluate and recommend new ML techniques, tools, and methodologies relevant to business context and team advancement.
• Troubleshooting: Resolve model, feature, and system issues with clear documentation.
• Monitoring & Evaluation: Implement model monitoring systems, performance tracking, and evaluation frameworks to ensure ongoing solution effectiveness.
• Specifications and Planning: Create detailed functional and technical specifications for models and systems.
• Business Solutions: Implement machine learning solutions to solve complex business problems.
• Cross-Team
  
  Collaboration:
  
  Deliver large projects through effective collaboration with multiple teams.
• Documentation & Standards: Create comprehensive documentation, maintain coding standards, and apply methodological frameworks that enable team scalability and knowledge retention.

• Relevant tertiary qualifications in Statistics, Mathematics, Computer Science and/or Engineering.
• 5+ years of relevant data science, machine learning, or analytics experience.
• Advanced knowledge of data analysis, cleaning and preparation.
• Understanding of machine learning, deep learning and modeling tools.
• Expertise in programming and scripting languages (Primarily Python).
• Proven expertise using a cloud provider platform (e.g. Google Cloud or AWS).
• Demonstrate an advanced knowledge of mathematics and statistics, with a focus on machine learning algorithms and implementation.
• In-depth understanding of modeling and analytics best practices, solutions scalability, and performance tuning.
• Demonstrate a strong foundational understanding of computer science fundamentals such as data structures and algorithms.
• Experience…