Job details
time type Full time posted on Posted Today time left to apply End Date: January 31, 2025 (30+ days left to apply) job requisition id JR18919 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. Job Description
- Global, ASX-listed market leader in Logistics & Supply Chain | One of the World’s most sustainable companies
- Dynamic, 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.
- 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.
- 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.
- 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.
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The weight of responsibility rests on your shoulders, but there's a beacon of hope. Your foundation in Enterprise Risk Management empowers you to chart the path ahead. This transformative journey begins with our encompassing Enterprise Risk Management (ERM) course bundle.<br /> <br /> This Enterprise Risk Management (ERM) bundle presents a curated selection of courses designed to fortify your professional armoury. Delve into the intricate frameworks of Enterprise Risk Management and ISO 31000, grasp the core techniques behind Enterprise Risk: Identification and Mitigation, fuel your entrepreneurial spirit with Entrepreneurship Training, and establish a concrete understanding of Business Management. 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Study this course through online learning and take the first steps towards a long-term career.<br /> <br /> The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.<br /> <br /> Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion.<br /> <br /> The Global Project Management course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.<br /> <br /> The course is designed to increase your employability and equip you with everything you need to be a success. 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