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  • Team Lead Data Science - Sandton - Brambles Group

    Brambles Group
    Brambles Group Sandton

    1 month ago

    Default job background
    Description

    CHEP is a global leader in supply chain solutions, moving more goods to more people in more places than any other organization on earth. With 300 million pallets, crates and containers, we operate in over 55 countries and employ 11,000 people.

    We pioneer and sustainably share-and-reuse business models, helping the world's biggest brands transport their goods more efficiently, safely and with less environmental impact.

    Job Description

    • Global Logistics & Supply Chain Leader | One of the World's most sustainable companies
    • Dynamic team shaping the future of digital supply chains
    • Data-driven tools to optimize Supply Chain & Asset Productivity, delivering greater value to customers and driving strategic initiatives through collaboration and fostering team growth

    This role involves developing data-driven tools, working collaboratively as part of a dynamic team and utilizing your technical expertise to drive outcomes across multiple time zones.

    You will be reporting directly to the Data & Analytics Lead for AMETA (APAC + IMETA) and will be responsible for guiding a team of Data Scientists to successfully deliver major projects.

    This position can be based in either Australia or South Africa.

    Key Responsibilities:

    • Combine math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights
    • Lead experimentation and implementation of new data science techniques on internal/external customer projects
    • Apply advanced knowledge of Continuous Integration/Continuous Deployment methodologies to deploying and maintaining Machine Learning models reliably and efficiently in Production
    • Communicate project status, methods, obstacles, and results to wider technical teams and business stakeholders
    • Manage a small team of data scientists across multiple time zones

    Requirements:

    • Bachelor's degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience
    • Proficient with machine learning models including productionization
    • Proficient with coding in Python, PySpark
    • Proficient with designing and building AI Systems
    • Extensive experience working with Databricks Data Intelligence Platform
    • Excellent communication skills
    • Experience working in large international corporations

    Preferred Education: Bachelor's degree
    Preferred Level of Work Experience: 7 - 10 years
    Remote Type: Hybrid Remote


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