Supply Chain Data Scientist; Remote

Our client is looking for a highly skilled and innovative Supply Chain Data Scientist to join their advanced analytics team, operating in a fully remote capacity. This role is central to leveraging big data, machine learning, and statistical modeling to drive significant improvements across our client's global supply chain. The ideal candidate will have a strong background in data science, a deep understanding of supply chain dynamics, and a passion for uncovering actionable insights from complex datasets.

You will work on challenging projects, from demand forecasting and network optimization to risk assessment and performance prediction, all from your remote workspace. This is a unique opportunity to apply cutting-edge analytical techniques to real-world logistics problems and shape the strategic direction of a leading international company. Your expertise will be instrumental in creating more resilient, efficient, and cost-effective supply chains.

• Develop and implement advanced statistical models and machine learning algorithms for supply chain optimization (e.g., demand forecasting, inventory optimization, route optimization).
• Analyze large, complex datasets from various sources to identify trends, patterns, and actionable insights.
• Design and conduct A/B tests and other experiments to evaluate the impact of supply chain changes.
• Collaborate with supply chain, operations, and IT teams to define data requirements and analytical needs.
• Build and maintain data pipelines and visualization tools to communicate findings effectively.
• Develop predictive models to identify potential supply chain risks and disruptions.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in supply chain management.
• Translate complex analytical results into clear, concise recommendations for business stakeholders.
• Mentor junior data analysts and contribute to the development of data science best practices.
• Contribute to the overall strategic decision-making process for the supply chain.

• Master’s or Ph.D. in Data Science, Statistics, Computer Science, Operations Research, or a related quantitative field.
• 5+ years of experience in data science, with a significant focus on supply chain analytics or operations research.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., pandas, scikit-learn, Tensor Flow, PyTorch).
• Experience with SQL and database management.
• Strong knowledge of machine learning techniques and statistical modeling.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Experience in the logistics or supply chain industry is highly desirable.

• Our client offers an industry-leading salary, comprehensive benefits package including health, dental, and vision insurance, generous paid time off, and a robust retirement plan.
• Employees have access to continuous learning opportunities, professional development programs, and exciting career growth prospects.
• The company invests in the latest technology and fosters a collaborative, innovative remote work culture.
• This position is based in Stellenbosch, Western Cape, ZA
  , allowing you to contribute from a top wine region while impacting global logistics.