CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 countries. Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.What does that mean for you? You'll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You'll help change how goods get to market and contribute to global sustainability. You'll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.Job DescriptionGlobal, ASX-listed market leader in Logistics & Supply Chain | One of the World's most sustainable companiesDynamic, collaborative team that's shaping the future of digital supply chains.Develop data-driven tools to optimize Supply Chain & Asset Productivity, delivering greater value to customers whilst driving strategic initiatives through collaboration and fostering team growth.Are you ready to bring your strong curiosity and technical perspective to new business challenges?Have you gained a depth of experience in data science, AI algorithm and system design, driving outcomes with cross-functional teams across multiple time zones?As part of the brilliant & talented Brambles Data & Analytics team, reporting directly to Data & Analytics Lead for AMETA (APAC + IMETA), you will be a role model and mentor, guiding a team of Data Scientists (2) to successfully deliver major projects. Your expertise will help shape the standards and best practices across the team and organization.This position can either be based in Australia or South Africa.What You'll Do:Combine math and statistics, specialised programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights.Leads on experimentation with 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.Managing a small team of data scientists (2) across multiple time zones.Lead data science team discussions, providing insight as needed on current approaches and methods.What will ensure your success in the Role:Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience.Proficient with machine learning models (Supervised; unsupervised; reinforcement) including the productionisation thereof.Proficient with coding in Python, PySpark.Proficient with designing and building AI Systems (Decision Intelligence).Extensive experience working with the Databricks Data Intelligence Platform.Proficient in researching, developing, synthesizing new algorithms and techniques.Excellent communication skills.Extensive experience working in large international corporations.Participated in numerous data science projects.Utilized several data science methodologies.Have worked autonomously and delivered results on schedule.Have presented results to non-data scientist audience.Experience working under different project management frameworks (Waterfall; Agile).Mathematics and Statistics for Data Science.Critical thinking and research skills.Preferred Education: BachelorsPreferred Level of Work Experience: 7 - 10 yearsRemote Type: Hybrid RemoteWe are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
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